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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> 0 were not able to fit
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x56211567b0c0>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x56211567b0c0>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # ℹ 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure mod… -0.575     0.478      -1.20  -1.51       0.362   0.229 
#> 2 age, Cure model         0.00981   0.00982     0.999 -0.00944    0.0291  0.318 
#> 3 grade_ii, Cure model    0.109     0.367       0.295 -0.612      0.829   0.768 
#> 4 grade_iii, Cure model   0.824     0.387       2.13   0.0655     1.58    0.0332
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 age, Survival model    -0.00262   0.00903    -0.290  -0.0203    0.0151  0.772 
#> 2 grade_ii, Survival mo…  0.570     0.282       2.02    0.0164    1.12    0.0436
#> 3 grade_iii, Survival m…  0.346     0.223       1.55   -0.0905    0.782   0.120 
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 0.2286519015 0.0000964799 0.1350330845 0.1497399357
#> 
#> $b_sd
#> [1] 0.478175597 0.009822418 0.367468481 0.386962447
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.2024935        0.9990913        0.2953788        2.1291451 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.22917240       0.31775048       0.76770451       0.03324226 
#> 
#> $beta_var
#> [1] 8.155501e-05 7.963690e-02 4.957568e-02
#> 
#> $beta_sd
#> [1] 0.009030781 0.282200108 0.222655965
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.2896883        2.0180884        1.5534458 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.77205469       0.04358205       0.12031666 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00651030                0.02382285               -0.06241080 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.465102556             0.008159562            -0.191080503 
#>   grade_iii, Cure model 
#>             0.942012187 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 134   17.81      1  47        1         0
#> 14    12.89      1  21        0         0
#> 59    10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 107   11.18      1  54        1         0
#> 51    18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 197.1 21.60      1  69        1         0
#> 69    23.23      1  25        0         1
#> 14.1  12.89      1  21        0         0
#> 50    10.02      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 66    22.13      1  53        0         0
#> 179   18.63      1  42        0         0
#> 100   16.07      1  60        0         0
#> 164   23.60      1  76        0         1
#> 29    15.45      1  68        1         0
#> 113   22.86      1  34        0         0
#> 52    10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 88    18.37      1  47        0         0
#> 4.1   17.64      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 184   17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 52.1  10.42      1  52        0         1
#> 91     5.33      1  61        0         1
#> 188   16.16      1  46        0         1
#> 81    14.06      1  34        0         0
#> 66.1  22.13      1  53        0         0
#> 164.1 23.60      1  76        0         1
#> 153   21.33      1  55        1         0
#> 150   20.33      1  48        0         0
#> 153.1 21.33      1  55        1         0
#> 157   15.10      1  47        0         0
#> 180   14.82      1  37        0         0
#> 55    19.34      1  69        0         1
#> 50.2  10.02      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 175   21.91      1  43        0         0
#> 90    20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 58    19.34      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 81.1  14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 190   20.81      1  42        1         0
#> 100.1 16.07      1  60        0         0
#> 179.1 18.63      1  42        0         0
#> 110   17.56      1  65        0         1
#> 41    18.02      1  40        1         0
#> 40    18.00      1  28        1         0
#> 29.1  15.45      1  68        1         0
#> 52.2  10.42      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 10    10.53      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 133   14.65      1  57        0         0
#> 197.2 21.60      1  69        1         0
#> 189.1 10.51      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 92    22.92      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 106   16.67      1  49        1         0
#> 16.1   8.71      1  71        0         1
#> 30.1  17.43      1  78        0         0
#> 23    16.92      1  61        0         0
#> 170.1 19.54      1  43        0         1
#> 91.1   5.33      1  61        0         1
#> 167   15.55      1  56        1         0
#> 14.2  12.89      1  21        0         0
#> 43    12.10      1  61        0         1
#> 45.1  17.42      1  54        0         1
#> 68.1  20.62      1  44        0         0
#> 93    10.33      1  52        0         1
#> 57    14.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 23.1  16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 100.2 16.07      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 40.1  18.00      1  28        1         0
#> 79    16.23      1  54        1         0
#> 14.3  12.89      1  21        0         0
#> 170.2 19.54      1  43        0         1
#> 153.2 21.33      1  55        1         0
#> 153.3 21.33      1  55        1         0
#> 5     16.43      1  51        0         1
#> 123   13.00      1  44        1         0
#> 59.1  10.16      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 10.1  10.53      1  34        0         0
#> 170.3 19.54      1  43        0         1
#> 139   21.49      1  63        1         0
#> 36.1  21.19      1  48        0         1
#> 125   15.65      1  67        1         0
#> 111   17.45      1  47        0         1
#> 8     18.43      1  32        0         0
#> 26    15.77      1  49        0         1
#> 32    20.90      1  37        1         0
#> 51.1  18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 45.2  17.42      1  54        0         1
#> 132   24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 20    24.00      0  46        1         0
#> 120.1 24.00      0  68        0         1
#> 82    24.00      0  34        0         0
#> 151   24.00      0  42        0         0
#> 200   24.00      0  64        0         0
#> 71    24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 94    24.00      0  51        0         1
#> 34    24.00      0  36        0         0
#> 33    24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 1     24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 176   24.00      0  43        0         1
#> 71.1  24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 67.1  24.00      0  25        0         0
#> 22.1  24.00      0  52        1         0
#> 147.2 24.00      0  76        1         0
#> 35.1  24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 200.1 24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 152.1 24.00      0  36        0         1
#> 152.2 24.00      0  36        0         1
#> 35.2  24.00      0  51        0         0
#> 71.2  24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 152.3 24.00      0  36        0         1
#> 174.2 24.00      0  49        1         0
#> 27    24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 165.1 24.00      0  47        0         0
#> 17.1  24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 7.1   24.00      0  37        1         0
#> 172.1 24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 174.3 24.00      0  49        1         0
#> 137.1 24.00      0  45        1         0
#> 132.1 24.00      0  55        0         0
#> 152.4 24.00      0  36        0         1
#> 131.1 24.00      0  66        0         0
#> 104.1 24.00      0  50        1         0
#> 44.1  24.00      0  56        0         0
#> 112.1 24.00      0  61        0         0
#> 47    24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 200.2 24.00      0  64        0         0
#> 178.2 24.00      0  52        1         0
#> 172.2 24.00      0  41        0         0
#> 109.1 24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 27.1  24.00      0  63        1         0
#> 44.2  24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 115   24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.465          NA        NA      NA
#> 2 age, Cure model          0.00816        NA        NA      NA
#> 3 grade_ii, Cure model    -0.191          NA        NA      NA
#> 4 grade_iii, Cure model    0.942          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00651        NA        NA      NA
#> 2 grade_ii, Survival model   0.0238         NA        NA      NA
#> 3 grade_iii, Survival model -0.0624         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.46510           0.00816          -0.19108           0.94201  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 246.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.465102556      0.008159562     -0.191080503      0.942012187 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00651030       0.02382285      -0.06241080 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.102951442 0.334613245 0.732199559 0.167099943 0.796372571 0.284386872
#>   [7] 0.050769758 0.050769758 0.009070487 0.732199559 0.796372571 0.408384932
#>  [13] 0.028465303 0.245966899 0.533224580 0.002966834 0.605423446 0.018107156
#>  [19] 0.849222867 0.680756481 0.274592583 0.386852947 0.355115190 0.175730864
#>  [25] 0.849222867 0.957967579 0.521389287 0.693593820 0.028465303 0.002966834
#>  [31] 0.076131776 0.158587099 0.076131776 0.630154659 0.642709632 0.209597682
#>  [37] 0.916618601 0.039222673 0.118034066 0.902920334 0.209597682 0.985872413
#>  [43] 0.693593820 0.142247429 0.134070535 0.533224580 0.245966899 0.365585795
#>  [49] 0.304247045 0.314415826 0.605423446 0.849222867 0.023134520 0.930359075
#>  [55] 0.822713424 0.209597682 0.655317331 0.050769758 0.236494420 0.013348694
#>  [61] 0.334613245 0.463592084 0.930359075 0.386852947 0.441120167 0.175730864
#>  [67] 0.957967579 0.593103002 0.732199559 0.783214082 0.408384932 0.142247429
#>  [73] 0.889290152 0.668000685 0.000627994 0.441120167 0.475039415 0.533224580
#>  [79] 0.039222673 0.314415826 0.509635019 0.732199559 0.175730864 0.076131776
#>  [85] 0.076131776 0.486544684 0.719217582 0.486544684 0.822713424 0.175730864
#>  [91] 0.069146361 0.102951442 0.580856028 0.376173051 0.264889552 0.568695700
#>  [97] 0.126002454 0.284386872 0.408384932 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    36   134    14   166   107    51   197 197.1    69  14.1 107.1    45    66 
#> 21.19 17.81 12.89 19.98 11.18 18.23 21.60 21.60 23.23 12.89 11.18 17.42 22.13 
#>   179   100   164    29   113    52    13    88    30   184   170  52.1    91 
#> 18.63 16.07 23.60 15.45 22.86 10.42 14.34 18.37 17.43 17.77 19.54 10.42  5.33 
#>   188    81  66.1 164.1   153   150 153.1   157   180    55   187   175    90 
#> 16.16 14.06 22.13 23.60 21.33 20.33 21.33 15.10 14.82 19.34  9.92 21.91 20.94 
#>   145    58   127  81.1    68   190 100.1 179.1   110    41    40  29.1  52.2 
#> 10.07 19.34  3.53 14.06 20.62 20.81 16.07 18.63 17.56 18.02 18.00 15.45 10.42 
#>   169    16    10  58.1   133 197.2    97    92 134.1   106  16.1  30.1    23 
#> 22.41  8.71 10.53 19.34 14.65 21.60 19.14 22.92 17.81 16.67  8.71 17.43 16.92 
#> 170.1  91.1   167  14.2    43  45.1  68.1    93    57    86  23.1    85 100.2 
#> 19.54  5.33 15.55 12.89 12.10 17.42 20.62 10.33 14.46 23.81 16.92 16.44 16.07 
#> 175.1  40.1    79  14.3 170.2 153.2 153.3     5   123   5.1  10.1 170.3   139 
#> 21.91 18.00 16.23 12.89 19.54 21.33 21.33 16.43 13.00 16.43 10.53 19.54 21.49 
#>  36.1   125   111     8    26    32  51.1  45.2   132   191   131   148   120 
#> 21.19 15.65 17.45 18.43 15.77 20.90 18.23 17.42 24.00 24.00 24.00 24.00 24.00 
#>   146   174    20 120.1    82   151   200    71    35    98    94    34    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46    48    22   178   161   172    67    31   156    17    44     1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    62 174.1   176  71.1     7   147 147.1  67.1  22.1 147.2  35.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160 178.1   141   152 200.1   165 152.1 152.2  35.2  71.2   119 152.3 174.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    54   109   137   104    64 165.1  17.1    75   7.1 172.1   193 174.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 132.1 152.4 131.1 104.1  44.1 112.1    47 156.1 200.2 178.2 172.2 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135  27.1  44.2   102 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003653336               0.149768469               0.276139515 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.235412810             0.003800764             0.330628319 
#>   grade_iii, Cure model 
#>             0.671849623 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 125   15.65      1  67        1         0
#> 108   18.29      1  39        0         1
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 167   15.55      1  56        1         0
#> 101    9.97      1  10        0         1
#> 61    10.12      1  36        0         1
#> 192   16.44      1  31        1         0
#> 167.1 15.55      1  56        1         0
#> 85    16.44      1  36        0         0
#> 187    9.92      1  39        1         0
#> 93    10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 159   10.55      1  50        0         1
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 42    12.43      1  49        0         1
#> 157   15.10      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 36    21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 69    23.23      1  25        0         1
#> 30    17.43      1  78        0         0
#> 183    9.24      1  67        1         0
#> 167.2 15.55      1  56        1         0
#> 90    20.94      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 133   14.65      1  57        0         0
#> 136   21.83      1  43        0         1
#> 183.1  9.24      1  67        1         0
#> 145   10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 150   20.33      1  48        0         0
#> 66    22.13      1  53        0         0
#> 128   20.35      1  35        0         1
#> 150.1 20.33      1  48        0         0
#> 14    12.89      1  21        0         0
#> 66.1  22.13      1  53        0         0
#> 134   17.81      1  47        1         0
#> 50    10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 92    22.92      1  47        0         1
#> 129.1 23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 183.2  9.24      1  67        1         0
#> 153.1 21.33      1  55        1         0
#> 166   19.98      1  48        0         0
#> 188   16.16      1  46        0         1
#> 183.3  9.24      1  67        1         0
#> 32    20.90      1  37        1         0
#> 192.1 16.44      1  31        1         0
#> 37    12.52      1  57        1         0
#> 130.1 16.47      1  53        0         1
#> 150.2 20.33      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 167.3 15.55      1  56        1         0
#> 6.1   15.64      1  39        0         0
#> 6.2   15.64      1  39        0         0
#> 61.1  10.12      1  36        0         1
#> 78    23.88      1  43        0         0
#> 155   13.08      1  26        0         0
#> 101.1  9.97      1  10        0         1
#> 114.1 13.68      1  NA        0         0
#> 192.2 16.44      1  31        1         0
#> 63    22.77      1  31        1         0
#> 127    3.53      1  62        0         1
#> 8     18.43      1  32        0         0
#> 43    12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 51    18.23      1  83        0         1
#> 167.4 15.55      1  56        1         0
#> 32.1  20.90      1  37        1         0
#> 61.2  10.12      1  36        0         1
#> 123   13.00      1  44        1         0
#> 56    12.21      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 199   19.81      1  NA        0         1
#> 29.1  15.45      1  68        1         0
#> 90.1  20.94      1  50        0         1
#> 25     6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 175   21.91      1  43        0         0
#> 40.2  18.00      1  28        1         0
#> 52    10.42      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 63.1  22.77      1  31        1         0
#> 96    14.54      1  33        0         1
#> 5     16.43      1  51        0         1
#> 187.1  9.92      1  39        1         0
#> 155.1 13.08      1  26        0         0
#> 197   21.60      1  69        1         0
#> 127.1  3.53      1  62        0         1
#> 86    23.81      1  58        0         1
#> 66.2  22.13      1  53        0         0
#> 128.1 20.35      1  35        0         1
#> 107   11.18      1  54        1         0
#> 159.1 10.55      1  50        0         1
#> 100.1 16.07      1  60        0         0
#> 10.2  10.53      1  34        0         0
#> 99    21.19      1  38        0         1
#> 133.1 14.65      1  57        0         0
#> 129.2 23.41      1  53        1         0
#> 182   24.00      0  35        0         0
#> 160   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 94    24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 11    24.00      0  42        0         1
#> 131   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 151   24.00      0  42        0         0
#> 22    24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 165   24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 102   24.00      0  49        0         0
#> 22.1  24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 38    24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 38.1  24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 151.1 24.00      0  42        0         0
#> 109.1 24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 126   24.00      0  48        0         0
#> 47.1  24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 161.1 24.00      0  45        0         0
#> 178   24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 178.1 24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 27    24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 33.1  24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 19.1  24.00      0  57        0         1
#> 19.2  24.00      0  57        0         1
#> 112   24.00      0  61        0         0
#> 185.1 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 46.1  24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 162.1 24.00      0  51        0         0
#> 95.2  24.00      0  68        0         1
#> 115.2 24.00      0  NA        1         0
#> 83.1  24.00      0   6        0         0
#> 9     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 163   24.00      0  66        0         0
#> 118.1 24.00      0  44        1         0
#> 115.3 24.00      0  NA        1         0
#> 80.1  24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 121.1 24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 53.1  24.00      0  32        0         1
#> 33.2  24.00      0  53        0         0
#> 46.2  24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 176.1 24.00      0  43        0         1
#> 137.1 24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.235          NA        NA      NA
#> 2 age, Cure model          0.00380        NA        NA      NA
#> 3 grade_ii, Cure model     0.331          NA        NA      NA
#> 4 grade_iii, Cure model    0.672          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00365        NA        NA      NA
#> 2 grade_ii, Survival model   0.150          NA        NA      NA
#> 3 grade_iii, Survival model  0.276          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.235413          0.003801          0.330628          0.671850  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    256.4 
#> Residual Deviance: 253 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.235412810      0.003800764      0.330628319      0.671849623 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003653336      0.149768469      0.276139515 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.63669752 0.66085117 0.62849406 0.46494807 0.48338987 0.54527720
#>   [7] 0.52772245 0.67685373 0.91663279 0.88811435 0.56232960 0.67685373
#>  [13] 0.56232960 0.93080011 0.88084558 0.43668424 0.83703069 0.09382369
#>  [19] 0.01981700 0.53651775 0.80706310 0.73063842 0.66085117 0.30823035
#>  [25] 0.18993254 0.13540712 0.51883750 0.94489461 0.67685373 0.32932957
#>  [31] 0.61209134 0.74610927 0.25093700 0.94489461 0.90948082 0.85170255
#>  [37] 0.38906636 0.20305250 0.36962961 0.38906636 0.79188311 0.20305250
#>  [43] 0.50990210 0.28631837 0.15023804 0.09382369 0.71520739 0.42709504
#>  [49] 0.94489461 0.28631837 0.41745280 0.60377934 0.94489461 0.34967077
#>  [55] 0.56232960 0.79948861 0.54527720 0.38906636 0.85170255 0.67685373
#>  [61] 0.63669752 0.63669752 0.88811435 0.04731932 0.76906951 0.91663279
#>  [67] 0.56232960 0.16428714 0.98633359 0.44613414 0.82211353 0.27476606
#>  [73] 0.47423932 0.67685373 0.34967077 0.88811435 0.78427177 0.81459683
#>  [79] 0.48338987 0.71520739 0.32932957 0.97941371 0.45555930 0.73837971
#>  [85] 0.23856722 0.48338987 0.87354102 0.97247839 0.16428714 0.76141530
#>  [91] 0.59540286 0.93080011 0.76906951 0.26298493 0.98633359 0.07283040
#>  [97] 0.20305250 0.36962961 0.82958602 0.83703069 0.61209134 0.85170255
#> [103] 0.30823035 0.74610927 0.09382369 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>     6    39   125   108    40   130    45   167   101    61   192 167.1    85 
#> 15.64 15.59 15.65 18.29 18.00 16.47 17.42 15.55  9.97 10.12 16.44 15.55 16.44 
#>   187    93    97   159   129    24    23    42   157  39.1    36   169    69 
#>  9.92 10.33 19.14 10.55 23.41 23.89 16.92 12.43 15.10 15.59 21.19 22.41 23.23 
#>    30   183 167.2    90   100   133   136 183.1   145    10   150    66   128 
#> 17.43  9.24 15.55 20.94 16.07 14.65 21.83  9.24 10.07 10.53 20.33 22.13 20.35 
#> 150.1    14  66.1   134   153    92 129.1    29   105 183.2 153.1   166   188 
#> 20.33 12.89 22.13 17.81 21.33 22.92 23.41 15.45 19.75  9.24 21.33 19.98 16.16 
#> 183.3    32 192.1    37 130.1 150.2  10.1 167.3   6.1   6.2  61.1    78   155 
#>  9.24 20.90 16.44 12.52 16.47 20.33 10.53 15.55 15.64 15.64 10.12 23.88 13.08 
#> 101.1 192.2    63   127     8    43   139    51 167.4  32.1  61.2   123    56 
#>  9.97 16.44 22.77  3.53 18.43 12.10 21.49 18.23 15.55 20.90 10.12 13.00 12.21 
#>  40.1  29.1  90.1    25    88   180   175  40.2    52    16  63.1    96     5 
#> 18.00 15.45 20.94  6.32 18.37 14.82 21.91 18.00 10.42  8.71 22.77 14.54 16.43 
#> 187.1 155.1   197 127.1    86  66.2 128.1   107 159.1 100.1  10.2    99 133.1 
#>  9.92 13.08 21.60  3.53 23.81 22.13 20.35 11.18 10.55 16.07 10.53 21.19 14.65 
#> 129.2   182   160    72    94   172    19    11   131    95   176   162    28 
#> 23.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    22   200   161   185    80   165    46   118   137    98   102  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109    87    38  95.1    47    75  38.1 165.1     2 151.1 109.1    12   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1   146    31 161.1   178   121   122 131.1    33 178.1    83    27   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    35  31.1  19.1  19.2   112 185.1    65   103   156  46.1   138     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1  95.2  83.1     9    53   163 118.1  80.1   173 121.1   141  53.1  33.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.2   2.1 176.1 137.1    74 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01126472                0.56929253                0.23493698 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.53681406              0.00734337              0.42279228 
#>   grade_iii, Cure model 
#>              0.82124922 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 140   12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 136   21.83      1  43        0         1
#> 49    12.19      1  48        1         0
#> 57    14.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 169   22.41      1  46        0         0
#> 166   19.98      1  48        0         0
#> 81    14.06      1  34        0         0
#> 70     7.38      1  30        1         0
#> 166.1 19.98      1  48        0         0
#> 23    16.92      1  61        0         0
#> 88    18.37      1  47        0         0
#> 8     18.43      1  32        0         0
#> 69    23.23      1  25        0         1
#> 167.1 15.55      1  56        1         0
#> 37    12.52      1  57        1         0
#> 32    20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 140.1 12.68      1  59        1         0
#> 70.1   7.38      1  30        1         0
#> 55    19.34      1  69        0         1
#> 36    21.19      1  48        0         1
#> 77     7.27      1  67        0         1
#> 114   13.68      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 45    17.42      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 32.1  20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 171   16.57      1  41        0         1
#> 88.2  18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 45.1  17.42      1  54        0         1
#> 150   20.33      1  48        0         0
#> 50.1  10.02      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 26    15.77      1  49        0         1
#> 153.1 21.33      1  55        1         0
#> 96    14.54      1  33        0         1
#> 100   16.07      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 32.2  20.90      1  37        1         0
#> 139   21.49      1  63        1         0
#> 123   13.00      1  44        1         0
#> 23.1  16.92      1  61        0         0
#> 154   12.63      1  20        1         0
#> 58    19.34      1  39        0         0
#> 66    22.13      1  53        0         0
#> 117   17.46      1  26        0         1
#> 24    23.89      1  38        0         0
#> 60    13.15      1  38        1         0
#> 91     5.33      1  61        0         1
#> 188   16.16      1  46        0         1
#> 32.3  20.90      1  37        1         0
#> 171.1 16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 139.1 21.49      1  63        1         0
#> 45.2  17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 70.2   7.38      1  30        1         0
#> 187    9.92      1  39        1         0
#> 195   11.76      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 43    12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 177   12.53      1  75        0         0
#> 189.1 10.51      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 85    16.44      1  36        0         0
#> 171.2 16.57      1  41        0         1
#> 14    12.89      1  21        0         0
#> 78    23.88      1  43        0         0
#> 92.1  22.92      1  47        0         1
#> 167.2 15.55      1  56        1         0
#> 78.1  23.88      1  43        0         0
#> 150.2 20.33      1  48        0         0
#> 29    15.45      1  68        1         0
#> 157   15.10      1  47        0         0
#> 58.1  19.34      1  39        0         0
#> 106   16.67      1  49        1         0
#> 23.2  16.92      1  61        0         0
#> 192   16.44      1  31        1         0
#> 183    9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 57.1  14.46      1  45        0         1
#> 105.1 19.75      1  60        0         0
#> 167.3 15.55      1  56        1         0
#> 108   18.29      1  39        0         1
#> 159   10.55      1  50        0         1
#> 89.1  11.44      1  NA        0         0
#> 167.4 15.55      1  56        1         0
#> 153.2 21.33      1  55        1         0
#> 139.2 21.49      1  63        1         0
#> 183.1  9.24      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 197.1 21.60      1  69        1         0
#> 8.1   18.43      1  32        0         0
#> 14.1  12.89      1  21        0         0
#> 29.1  15.45      1  68        1         0
#> 164   23.60      1  76        0         1
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 10.2  10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 19    24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 9     24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 173   24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 35    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 44.2  24.00      0  56        0         0
#> 132.1 24.00      0  55        0         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 46    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 132.2 24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 98    24.00      0  34        1         0
#> 142   24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 137   24.00      0  45        1         0
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 102   24.00      0  49        0         0
#> 141.1 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 44.3  24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 143.1 24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 137.1 24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 118   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 152   24.00      0  36        0         1
#> 46.1  24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 2     24.00      0   9        0         0
#> 102.1 24.00      0  49        0         0
#> 33    24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 104   24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 46.2  24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 98.1  24.00      0  34        1         0
#> 119   24.00      0  17        0         0
#> 137.2 24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 7     24.00      0  37        1         0
#> 103   24.00      0  56        1         0
#> 98.2  24.00      0  34        1         0
#> 163   24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 120.1 24.00      0  68        0         1
#> 191.1 24.00      0  60        0         1
#> 11    24.00      0  42        0         1
#> 137.3 24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 64    24.00      0  43        0         0
#> 137.4 24.00      0  45        1         0
#> 102.2 24.00      0  49        0         0
#> 75.1  24.00      0  21        1         0
#> 191.2 24.00      0  60        0         1
#> 44.4  24.00      0  56        0         0
#> 75.2  24.00      0  21        1         0
#> 7.1   24.00      0  37        1         0
#> 35.1  24.00      0  51        0         0
#> 82.1  24.00      0  34        0         0
#> 33.1  24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 67.1  24.00      0  25        0         0
#> 104.1 24.00      0  50        1         0
#> 44.5  24.00      0  56        0         0
#> 75.3  24.00      0  21        1         0
#> 118.1 24.00      0  44        1         0
#> 82.2  24.00      0  34        0         0
#> 7.2   24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.537          NA        NA      NA
#> 2 age, Cure model          0.00734        NA        NA      NA
#> 3 grade_ii, Cure model     0.423          NA        NA      NA
#> 4 grade_iii, Cure model    0.821          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0113        NA        NA      NA
#> 2 grade_ii, Survival model    0.569         NA        NA      NA
#> 3 grade_iii, Survival model   0.235         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.536814          0.007343          0.422792          0.821249  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 255.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.53681406       0.00734337       0.42279228       0.82124922 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01126472       0.56929253       0.23493698 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0928012743 0.7032793538 0.5004622853 0.0481036191 0.7733293797
#>   [6] 0.6107800304 0.8203954227 0.0339162254 0.1830110128 0.6336534779
#>  [11] 0.9404233229 0.1830110128 0.3501215829 0.2620310413 0.2435323822
#>  [16] 0.0167197224 0.5004622853 0.7499506965 0.1233606472 0.0224845887
#>  [21] 0.7032793538 0.9404233229 0.2169185299 0.1152004858 0.9758900455
#>  [26] 0.2620310413 0.1518178303 0.3202609952 0.1233606472 0.1996109865
#>  [31] 0.3919909177 0.2620310413 0.7733293797 0.3202609952 0.1595527685
#>  [36] 0.4236966351 0.7499506965 0.4892661275 0.0928012743 0.5881088339
#>  [41] 0.4781391578 0.1595527685 0.1233606472 0.0706885372 0.6684697243
#>  [46] 0.3501215829 0.7265446682 0.2169185299 0.0407317953 0.3003825075
#>  [51] 0.0008250494 0.6452626045 0.9879182664 0.4671379713 0.1233606472
#>  [56] 0.3919909177 0.6568401407 0.0706885372 0.3202609952 0.4562003296
#>  [61] 0.9404233229 0.8801062490 0.5881088339 0.7966876409 0.8560017794
#>  [66] 0.7381947701 0.8560017794 0.4346068683 0.3919909177 0.6800838714
#>  [71] 0.0038265551 0.0224845887 0.5004622853 0.0038265551 0.1595527685
#>  [76] 0.5543428778 0.5767185769 0.2169185299 0.3813047661 0.3501215829
#>  [81] 0.4346068683 0.8922189769 0.0557355058 0.6107800304 0.1996109865
#>  [86] 0.5004622853 0.2905022409 0.8085172126 0.5004622853 0.0928012743
#>  [91] 0.0706885372 0.8922189769 0.8203954227 0.0557355058 0.2435323822
#>  [96] 0.6800838714 0.5543428778 0.0110626761 0.9163903578 0.9163903578
#> [101] 0.8203954227 0.3102811320 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   153   140   167   136    49    57    10   169   166    81    70 166.1    23 
#> 21.33 12.68 15.55 21.83 12.19 14.46 10.53 22.41 19.98 14.06  7.38 19.98 16.92 
#>    88     8    69 167.1    37    32    92 140.1  70.1    55    36    77  88.1 
#> 18.37 18.43 23.23 15.55 12.52 20.90 22.92 12.68  7.38 19.34 21.19  7.27 18.37 
#>   128    45  32.1   105   171  88.2  49.1  45.1   150   181  37.1    26 153.1 
#> 20.35 17.42 20.90 19.75 16.57 18.37 12.19 17.42 20.33 16.46 12.52 15.77 21.33 
#>    96   100 150.1  32.2   139   123  23.1   154    58    66   117    24    60 
#> 14.54 16.07 20.33 20.90 21.49 13.00 16.92 12.63 19.34 22.13 17.46 23.89 13.15 
#>    91   188  32.3 171.1   155 139.1  45.2    79  70.2   187  96.1    43    52 
#>  5.33 16.16 20.90 16.57 13.08 21.49 17.42 16.23  7.38  9.92 14.54 12.10 10.42 
#>   177  52.1    85 171.2    14    78  92.1 167.2  78.1 150.2    29   157  58.1 
#> 12.53 10.42 16.44 16.57 12.89 23.88 22.92 15.55 23.88 20.33 15.45 15.10 19.34 
#>   106  23.2   192   183   197  57.1 105.1 167.3   108   159 167.4 153.2 139.2 
#> 16.67 16.92 16.44  9.24 21.60 14.46 19.75 15.55 18.29 10.55 15.55 21.33 21.49 
#> 183.1  10.1 197.1   8.1  14.1  29.1   164   149 149.1  10.2   111    19   132 
#>  9.24 10.53 21.60 18.43 12.89 15.45 23.60  8.37  8.37 10.53 17.45 24.00 24.00 
#>    44     9  44.1   173   182    84    35   121  44.2 132.1    47   147    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141 147.1 132.2   174    98   142    75   137    38   161   102 141.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.3   146 143.1   191   186    82 137.1   112   120   193   118    74    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152  46.1    53     2 102.1    33   126   131   156   104   122   176  46.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67  98.1   119 137.2   144     7   103  98.2   163 142.1 120.1 191.1    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.3    64 137.4 102.2  75.1 191.2  44.4  75.2   7.1  35.1  82.1  33.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1 104.1  44.5  75.3 118.1  82.2   7.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005153665               0.882714045               0.497877358 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.21522101              0.02298384              0.38332376 
#>   grade_iii, Cure model 
#>              0.65868891 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 88    18.37      1  47        0         0
#> 168   23.72      1  70        0         0
#> 61    10.12      1  36        0         1
#> 50    10.02      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 78    23.88      1  43        0         0
#> 60    13.15      1  38        1         0
#> 5     16.43      1  51        0         1
#> 61.1  10.12      1  36        0         1
#> 139   21.49      1  63        1         0
#> 36    21.19      1  48        0         1
#> 4     17.64      1  NA        0         1
#> 85    16.44      1  36        0         0
#> 177   12.53      1  75        0         0
#> 166   19.98      1  48        0         0
#> 55    19.34      1  69        0         1
#> 49    12.19      1  48        1         0
#> 16     8.71      1  71        0         1
#> 60.1  13.15      1  38        1         0
#> 183    9.24      1  67        1         0
#> 139.1 21.49      1  63        1         0
#> 183.1  9.24      1  67        1         0
#> 41    18.02      1  40        1         0
#> 43    12.10      1  61        0         1
#> 164   23.60      1  76        0         1
#> 195   11.76      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 90    20.94      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 154   12.63      1  20        1         0
#> 86    23.81      1  58        0         1
#> 60.2  13.15      1  38        1         0
#> 56    12.21      1  60        0         0
#> 58    19.34      1  39        0         0
#> 13    14.34      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 167   15.55      1  56        1         0
#> 155   13.08      1  26        0         0
#> 123   13.00      1  44        1         0
#> 99.1  21.19      1  38        0         1
#> 56.1  12.21      1  60        0         0
#> 100   16.07      1  60        0         0
#> 63    22.77      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 183.2  9.24      1  67        1         0
#> 24    23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 41.1  18.02      1  40        1         0
#> 197   21.60      1  69        1         0
#> 63.1  22.77      1  31        1         0
#> 78.1  23.88      1  43        0         0
#> 26    15.77      1  49        0         1
#> 96    14.54      1  33        0         1
#> 58.1  19.34      1  39        0         0
#> 183.3  9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 129   23.41      1  53        1         0
#> 90.1  20.94      1  50        0         1
#> 40    18.00      1  28        1         0
#> 24.1  23.89      1  38        0         0
#> 43.2  12.10      1  61        0         1
#> 55.1  19.34      1  69        0         1
#> 76    19.22      1  54        0         1
#> 101    9.97      1  10        0         1
#> 145   10.07      1  65        1         0
#> 85.1  16.44      1  36        0         0
#> 42    12.43      1  49        0         1
#> 99.2  21.19      1  38        0         1
#> 192   16.44      1  31        1         0
#> 24.2  23.89      1  38        0         0
#> 89.1  11.44      1  NA        0         0
#> 63.2  22.77      1  31        1         0
#> 49.2  12.19      1  48        1         0
#> 58.2  19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 56.2  12.21      1  60        0         0
#> 113   22.86      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 106   16.67      1  49        1         0
#> 40.1  18.00      1  28        1         0
#> 195.1 11.76      1  NA        1         0
#> 183.4  9.24      1  67        1         0
#> 14.1  12.89      1  21        0         0
#> 50.1  10.02      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 106.1 16.67      1  49        1         0
#> 117   17.46      1  26        0         1
#> 78.2  23.88      1  43        0         0
#> 86.1  23.81      1  58        0         1
#> 41.2  18.02      1  40        1         0
#> 134   17.81      1  47        1         0
#> 29    15.45      1  68        1         0
#> 51    18.23      1  83        0         1
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 195.2 11.76      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 40.2  18.00      1  28        1         0
#> 170   19.54      1  43        0         1
#> 177.1 12.53      1  75        0         0
#> 51.1  18.23      1  83        0         1
#> 164.1 23.60      1  76        0         1
#> 49.3  12.19      1  48        1         0
#> 113.1 22.86      1  34        0         0
#> 30    17.43      1  78        0         0
#> 32    20.90      1  37        1         0
#> 15    22.68      1  48        0         0
#> 128   20.35      1  35        0         1
#> 143   24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 176   24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 9     24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 126   24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 196   24.00      0  19        0         0
#> 165.1 24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 119   24.00      0  17        0         0
#> 116   24.00      0  58        0         1
#> 112.1 24.00      0  61        0         0
#> 144   24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 126.1 24.00      0  48        0         0
#> 144.1 24.00      0  28        0         1
#> 152   24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 176.1 24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 131   24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 178   24.00      0  52        1         0
#> 112.2 24.00      0  61        0         0
#> 173.1 24.00      0  19        0         1
#> 119.2 24.00      0  17        0         0
#> 72    24.00      0  40        0         1
#> 20    24.00      0  46        1         0
#> 21    24.00      0  47        0         0
#> 196.1 24.00      0  19        0         0
#> 1.1   24.00      0  23        1         0
#> 162   24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 98    24.00      0  34        1         0
#> 165.2 24.00      0  47        0         0
#> 152.2 24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 46.1  24.00      0  71        0         0
#> 47    24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 27    24.00      0  63        1         0
#> 21.1  24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 186   24.00      0  45        1         0
#> 162.1 24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 147.1 24.00      0  76        1         0
#> 22    24.00      0  52        1         0
#> 148.2 24.00      0  61        1         0
#> 119.3 24.00      0  17        0         0
#> 48    24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 20.2  24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 67.1  24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 83.1  24.00      0   6        0         0
#> 53.1  24.00      0  32        0         1
#> 138.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 186.1 24.00      0  45        1         0
#> 162.2 24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 147.2 24.00      0  76        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.22          NA        NA      NA
#> 2 age, Cure model           0.0230        NA        NA      NA
#> 3 grade_ii, Cure model      0.383         NA        NA      NA
#> 4 grade_iii, Cure model     0.659         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00515        NA        NA      NA
#> 2 grade_ii, Survival model   0.883          NA        NA      NA
#> 3 grade_iii, Survival model  0.498          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.21522           0.02298           0.38332           0.65869  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.21522101       0.02298384       0.38332376       0.65868891 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005153665      0.882714045      0.497877358 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.64024030 0.29063606 0.94562541 0.49762230 0.85879531 0.16356897
#>   [7] 0.83160706 0.76590535 0.94562541 0.47627862 0.49762230 0.74705199
#>  [13] 0.87488092 0.57311747 0.59097655 0.90634613 0.99123692 0.83160706
#>  [19] 0.96930058 0.47627862 0.96930058 0.66429940 0.92615713 0.31339401
#>  [25] 0.90634613 0.53608038 0.86954496 0.24542979 0.83160706 0.89072952
#>  [31] 0.59097655 0.82591321 0.92615713 0.79679740 0.84792597 0.85339581
#>  [37] 0.49762230 0.89072952 0.77840552 0.39905661 0.96930058 0.07188664
#>  [43] 0.74059092 0.45130122 0.66429940 0.46420099 0.39905661 0.16356897
#>  [49] 0.78461018 0.81438916 0.59097655 0.96930058 0.79076048 0.34993940
#>  [55] 0.53608038 0.68632077 0.07188664 0.92615713 0.59097655 0.63195322
#>  [61] 0.96461466 0.95523229 0.74705199 0.88545959 0.49762230 0.74705199
#>  [67] 0.07188664 0.39905661 0.90634613 0.59097655 0.77218289 0.89072952
#>  [73] 0.36675272 0.94076112 0.72760392 0.68632077 0.96930058 0.85879531
#>  [79] 0.95523229 0.72760392 0.71401335 0.16356897 0.24542979 0.66429940
#>  [85] 0.70714448 0.80273420 0.64849809 0.80856609 0.82017294 0.99563659
#>  [91] 0.68632077 0.58211915 0.87488092 0.64849809 0.31339401 0.90634613
#>  [97] 0.36675272 0.72082448 0.55489156 0.43802148 0.56407595 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    88   168    61    99    14    78    60     5  61.1   139    36    85   177 
#> 18.37 23.72 10.12 21.19 12.89 23.88 13.15 16.43 10.12 21.49 21.19 16.44 12.53 
#>   166    55    49    16  60.1   183 139.1 183.1    41    43   164  49.1    90 
#> 19.98 19.34 12.19  8.71 13.15  9.24 21.49  9.24 18.02 12.10 23.60 12.19 20.94 
#>   154    86  60.2    56    58    13  43.1   167   155   123  99.1  56.1   100 
#> 12.63 23.81 13.15 12.21 19.34 14.34 12.10 15.55 13.08 13.00 21.19 12.21 16.07 
#>    63 183.2    24   181   194  41.1   197  63.1  78.1    26    96  58.1 183.3 
#> 22.77  9.24 23.89 16.46 22.40 18.02 21.60 22.77 23.88 15.77 14.54 19.34  9.24 
#>   125   129  90.1    40  24.1  43.2  55.1    76   101   145  85.1    42  99.2 
#> 15.65 23.41 20.94 18.00 23.89 12.10 19.34 19.22  9.97 10.07 16.44 12.43 21.19 
#>   192  24.2  63.2  49.2  58.2   188  56.2   113    52   106  40.1 183.4  14.1 
#> 16.44 23.89 22.77 12.19 19.34 16.16 12.21 22.86 10.42 16.67 18.00  9.24 12.89 
#> 145.1 106.1   117  78.2  86.1  41.2   134    29    51   180    57    25  40.2 
#> 10.07 16.67 17.46 23.88 23.81 18.02 17.81 15.45 18.23 14.82 14.46  6.32 18.00 
#>   170 177.1  51.1 164.1  49.3 113.1    30    32    15   128   143    53   104 
#> 19.54 12.53 18.23 23.60 12.19 22.86 17.43 20.90 22.68 20.35 24.00 24.00 24.00 
#>   118   191   176   102     9     1   126   173   163   165   112   196 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   119   116 112.1   144 126.1 144.1   152 152.1   132   148 176.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   131 119.1   193     3    46    19     7   178 112.2 173.1 119.2    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    21 196.1   1.1   162 148.1    98 165.2 152.2   147  46.1    47   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    27  21.1    84   186 162.1    94 147.1    22 148.2 119.3    48  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2   182   138     2  67.1   161    75  83.1  53.1 138.1    74 186.1 162.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    38   9.1   2.1 147.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007930512               0.859431914               0.554291394 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.376485048             0.002839085             0.113999081 
#>   grade_iii, Cure model 
#>             1.315098018 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 105   19.75      1  60        0         0
#> 78.1  23.88      1  43        0         0
#> 153   21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 125   15.65      1  67        1         0
#> 66    22.13      1  53        0         0
#> 55    19.34      1  69        0         1
#> 184   17.77      1  38        0         0
#> 108   18.29      1  39        0         1
#> 60    13.15      1  38        1         0
#> 25     6.32      1  34        1         0
#> 55.1  19.34      1  69        0         1
#> 5     16.43      1  51        0         1
#> 61    10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 139.1 21.49      1  63        1         0
#> 88    18.37      1  47        0         0
#> 25.1   6.32      1  34        1         0
#> 49    12.19      1  48        1         0
#> 175   21.91      1  43        0         0
#> 23    16.92      1  61        0         0
#> 154   12.63      1  20        1         0
#> 154.1 12.63      1  20        1         0
#> 124    9.73      1  NA        1         0
#> 55.2  19.34      1  69        0         1
#> 170   19.54      1  43        0         1
#> 24    23.89      1  38        0         0
#> 23.1  16.92      1  61        0         0
#> 134   17.81      1  47        1         0
#> 56    12.21      1  60        0         0
#> 100   16.07      1  60        0         0
#> 133   14.65      1  57        0         0
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 14    12.89      1  21        0         0
#> 52    10.42      1  52        0         1
#> 171   16.57      1  41        0         1
#> 55.3  19.34      1  69        0         1
#> 45    17.42      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 184.1 17.77      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 5.1   16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 164   23.60      1  76        0         1
#> 164.1 23.60      1  76        0         1
#> 124.1  9.73      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 164.2 23.60      1  76        0         1
#> 159   10.55      1  50        0         1
#> 8     18.43      1  32        0         0
#> 14.1  12.89      1  21        0         0
#> 155   13.08      1  26        0         0
#> 68    20.62      1  44        0         0
#> 129   23.41      1  53        1         0
#> 128   20.35      1  35        0         1
#> 50.1  10.02      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 78.2  23.88      1  43        0         0
#> 150   20.33      1  48        0         0
#> 57.2  14.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 99    21.19      1  38        0         1
#> 13.1  14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 69.1  23.23      1  25        0         1
#> 81    14.06      1  34        0         0
#> 70     7.38      1  30        1         0
#> 140   12.68      1  59        1         0
#> 99.1  21.19      1  38        0         1
#> 117   17.46      1  26        0         1
#> 57.3  14.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 150.1 20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 145   10.07      1  65        1         0
#> 127    3.53      1  62        0         1
#> 133.1 14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 4.1   17.64      1  NA        0         1
#> 190   20.81      1  42        1         0
#> 113.1 22.86      1  34        0         0
#> 140.1 12.68      1  59        1         0
#> 90    20.94      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 187    9.92      1  39        1         0
#> 24.1  23.89      1  38        0         0
#> 55.4  19.34      1  69        0         1
#> 188.1 16.16      1  46        0         1
#> 194.1 22.40      1  38        0         1
#> 85.1  16.44      1  36        0         0
#> 61.1  10.12      1  36        0         1
#> 68.1  20.62      1  44        0         0
#> 101    9.97      1  10        0         1
#> 43.1  12.10      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 59    10.16      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 48    24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 196   24.00      0  19        0         0
#> 198   24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 102   24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 172   24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 115   24.00      0  NA        1         0
#> 21.1  24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 64.1  24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 196.1 24.00      0  19        0         0
#> 165.1 24.00      0  47        0         0
#> 131.1 24.00      0  66        0         0
#> 160.1 24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 161   24.00      0  45        0         0
#> 132.1 24.00      0  55        0         0
#> 161.1 24.00      0  45        0         0
#> 64.2  24.00      0  43        0         0
#> 109   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 131.2 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 21.2  24.00      0  47        0         0
#> 53.1  24.00      0  32        0         1
#> 198.1 24.00      0  66        0         1
#> 165.2 24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 198.2 24.00      0  66        0         1
#> 48.1  24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 48.2  24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 156.1 24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 21.3  24.00      0  47        0         0
#> 165.3 24.00      0  47        0         0
#> 73.1  24.00      0  NA        0         1
#> 142.1 24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 64.3  24.00      0  43        0         0
#> 119   24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 34.1  24.00      0  36        0         0
#> 75.1  24.00      0  21        1         0
#> 27    24.00      0  63        1         0
#> 191.1 24.00      0  60        0         1
#> 62.1  24.00      0  71        0         0
#> 62.2  24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 191.2 24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 174.1 24.00      0  49        1         0
#> 119.1 24.00      0  17        0         0
#> 185.1 24.00      0  44        1         0
#> 163.1 24.00      0  66        0         0
#> 17.1  24.00      0  38        0         1
#> 53.2  24.00      0  32        0         1
#> 116   24.00      0  58        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.376          NA        NA      NA
#> 2 age, Cure model          0.00284        NA        NA      NA
#> 3 grade_ii, Cure model     0.114          NA        NA      NA
#> 4 grade_iii, Cure model    1.32           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00793        NA        NA      NA
#> 2 grade_ii, Survival model   0.859          NA        NA      NA
#> 3 grade_iii, Survival model  0.554          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.376485          0.002839          0.113999          1.315098  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 243.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.376485048      0.002839085      0.113999081      1.315098018 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007930512      0.859431914      0.554291394 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.150539940 0.021630036 0.366839381 0.021630036 0.243689185 0.874311517
#>   [7] 0.223428501 0.704419823 0.129041242 0.675290580 0.191834345 0.386453777
#>  [13] 0.510392471 0.471765839 0.771096593 0.973875744 0.386453777 0.626949856
#>  [19] 0.919951434 0.646308548 0.223428501 0.461924569 0.973875744 0.865109951
#>  [25] 0.202341704 0.558721991 0.837498784 0.837498784 0.386453777 0.376676921
#>  [31] 0.005597879 0.558721991 0.500766199 0.855847891 0.665547069 0.684979808
#>  [37] 0.108362669 0.607494113 0.799757228 0.901760170 0.578214490 0.386453777
#>  [43] 0.549020220 0.901760170 0.510392471 0.202341704 0.626949856 0.597765122
#>  [49] 0.742313792 0.063011499 0.063011499 0.049623751 0.063011499 0.892589856
#>  [55] 0.442578572 0.799757228 0.780661161 0.309681339 0.096462495 0.328560312
#>  [61] 0.704419823 0.491022510 0.021630036 0.338051248 0.704419823 0.357100734
#>  [67] 0.471765839 0.539295370 0.171761981 0.253812857 0.742313792 0.588001453
#>  [73] 0.108362669 0.761442541 0.965011858 0.818732212 0.253812857 0.529650749
#>  [79] 0.704419823 0.253812857 0.338051248 0.790247615 0.938032453 0.991269568
#>  [85] 0.684979808 0.432893505 0.300265343 0.129041242 0.818732212 0.290640298
#>  [91] 0.442578572 0.956077252 0.005597879 0.386453777 0.646308548 0.171761981
#>  [97] 0.607494113 0.919951434 0.309681339 0.947080981 0.874311517 0.253812857
#> [103] 0.161044030 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    63    78   105  78.1   153    43   139    57   113   125    66    55   184 
#> 22.77 23.88 19.75 23.88 21.33 12.10 21.49 14.46 22.86 15.65 22.13 19.34 17.77 
#>   108    60    25  55.1     5    61   188 139.1    88  25.1    49   175    23 
#> 18.29 13.15  6.32 19.34 16.43 10.12 16.16 21.49 18.37  6.32 12.19 21.91 16.92 
#>   154 154.1  55.2   170    24  23.1   134    56   100   133    69    85    14 
#> 12.63 12.63 19.34 19.54 23.89 16.92 17.81 12.21 16.07 14.65 23.23 16.44 12.89 
#>    52   171  55.3    45  52.1 184.1 175.1   5.1   181    13   164 164.1   168 
#> 10.42 16.57 19.34 17.42 10.42 17.77 21.91 16.43 16.46 14.34 23.60 23.60 23.72 
#> 164.2   159     8  14.1   155    68   129   128  57.1    51  78.2   150  57.2 
#> 23.60 10.55 18.43 12.89 13.08 20.62 23.41 20.35 14.46 18.23 23.88 20.33 14.46 
#>   166 108.1    30   194    99  13.1   130  69.1    81    70   140  99.1   117 
#> 19.98 18.29 17.43 22.40 21.19 14.34 16.47 23.23 14.06  7.38 12.68 21.19 17.46 
#>  57.3    36 150.1   123   145   127 133.1    76   190 113.1 140.1    90   8.1 
#> 14.46 21.19 20.33 13.00 10.07  3.53 14.65 19.22 20.81 22.86 12.68 20.94 18.43 
#>   187  24.1  55.4 188.1 194.1  85.1  61.1  68.1   101  43.1  36.1   169    48 
#>  9.92 23.89 19.34 16.16 22.40 16.44 10.12 20.62  9.97 12.10 21.19 22.41 24.00 
#>    71    35    64   196   198    12    21   102   200   172   131   173   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    53  21.1   162   151  64.1   132   186   165 196.1 165.1 131.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   185   174   161 132.1 161.1  64.2   109   178     3 131.2    62   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.2  53.1 198.1 165.2   142   191 198.2  48.1   176   163    34  48.2    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138     9    75 156.1    38  12.1  21.3 165.3 142.1   126  64.3   119    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83  34.1  75.1    27 191.1  62.1  62.2    54 191.2    17 102.1     2 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1 185.1 163.1  17.1  53.2   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008988177               0.008213210               0.052495081 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76331764              0.02453600             -0.77930342 
#>   grade_iii, Cure model 
#>              0.03783041 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 171   16.57      1  41        0         1
#> 59    10.16      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 60    13.15      1  38        1         0
#> 96    14.54      1  33        0         1
#> 136   21.83      1  43        0         1
#> 101    9.97      1  10        0         1
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 92    22.92      1  47        0         1
#> 51    18.23      1  83        0         1
#> 32    20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 90    20.94      1  50        0         1
#> 159   10.55      1  50        0         1
#> 58    19.34      1  39        0         0
#> 101.1  9.97      1  10        0         1
#> 180   14.82      1  37        0         0
#> 59.1  10.16      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 4     17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 8     18.43      1  32        0         0
#> 123   13.00      1  44        1         0
#> 169   22.41      1  46        0         0
#> 158   20.14      1  74        1         0
#> 10.1  10.53      1  34        0         0
#> 110.1 17.56      1  65        0         1
#> 39    15.59      1  37        0         1
#> 199.1 19.81      1  NA        0         1
#> 66    22.13      1  53        0         0
#> 6     15.64      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 100   16.07      1  60        0         0
#> 66.2  22.13      1  53        0         0
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 150   20.33      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 164   23.60      1  76        0         1
#> 159.1 10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 69.1  23.23      1  25        0         1
#> 51.1  18.23      1  83        0         1
#> 86    23.81      1  58        0         1
#> 113.1 22.86      1  34        0         0
#> 150.1 20.33      1  48        0         0
#> 90.1  20.94      1  50        0         1
#> 6.1   15.64      1  39        0         0
#> 96.1  14.54      1  33        0         1
#> 89    11.44      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 26    15.77      1  49        0         1
#> 97.1  19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 51.2  18.23      1  83        0         1
#> 10.2  10.53      1  34        0         0
#> 90.2  20.94      1  50        0         1
#> 32.1  20.90      1  37        1         0
#> 139   21.49      1  63        1         0
#> 66.3  22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 45    17.42      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 158.1 20.14      1  74        1         0
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 133   14.65      1  57        0         0
#> 130.1 16.47      1  53        0         1
#> 5     16.43      1  51        0         1
#> 100.1 16.07      1  60        0         0
#> 78    23.88      1  43        0         0
#> 187    9.92      1  39        1         0
#> 170   19.54      1  43        0         1
#> 177.1 12.53      1  75        0         0
#> 51.3  18.23      1  83        0         1
#> 57    14.46      1  45        0         1
#> 55.1  19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 60.1  13.15      1  38        1         0
#> 129.1 23.41      1  53        1         0
#> 169.1 22.41      1  46        0         0
#> 96.2  14.54      1  33        0         1
#> 179   18.63      1  42        0         0
#> 100.2 16.07      1  60        0         0
#> 188   16.16      1  46        0         1
#> 89.1  11.44      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 153   21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 179.1 18.63      1  42        0         0
#> 188.1 16.16      1  46        0         1
#> 8.1   18.43      1  32        0         0
#> 14.1  12.89      1  21        0         0
#> 192   16.44      1  31        1         0
#> 114.1 13.68      1  NA        0         0
#> 169.2 22.41      1  46        0         0
#> 190.1 20.81      1  42        1         0
#> 58.1  19.34      1  39        0         0
#> 68    20.62      1  44        0         0
#> 20    24.00      0  46        1         0
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 38    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 75    24.00      0  21        1         0
#> 122   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 119.1 24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 116   24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 143   24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 11    24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 48.1  24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 122.1 24.00      0  66        0         0
#> 75.1  24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 186.1 24.00      0  45        1         0
#> 47.1  24.00      0  38        0         1
#> 33.1  24.00      0  53        0         0
#> 173.1 24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 200   24.00      0  64        0         0
#> 146   24.00      0  63        1         0
#> 104.1 24.00      0  50        1         0
#> 38.1  24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 75.2  24.00      0  21        1         0
#> 80    24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 53.1  24.00      0  32        0         1
#> 9.1   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 75.3  24.00      0  21        1         0
#> 11.1  24.00      0  42        0         1
#> 54    24.00      0  53        1         0
#> 135   24.00      0  58        1         0
#> 116.1 24.00      0  58        0         1
#> 193   24.00      0  45        0         1
#> 67    24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 146.1 24.00      0  63        1         0
#> 47.2  24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 72.1  24.00      0  40        0         1
#> 67.1  24.00      0  25        0         0
#> 1.1   24.00      0  23        1         0
#> 132   24.00      0  55        0         0
#> 75.4  24.00      0  21        1         0
#> 126   24.00      0  48        0         0
#> 67.2  24.00      0  25        0         0
#> 109.1 24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 135.1 24.00      0  58        1         0
#> 72.2  24.00      0  40        0         1
#> 54.1  24.00      0  53        1         0
#> 200.1 24.00      0  64        0         0
#> 173.2 24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 72.3  24.00      0  40        0         1
#> 67.3  24.00      0  25        0         0
#> 72.4  24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 152.1 24.00      0  36        0         1
#> 33.2  24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 82    24.00      0  34        0         0
#> 193.1 24.00      0  45        0         1
#> 121.1 24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.763         NA        NA      NA
#> 2 age, Cure model           0.0245        NA        NA      NA
#> 3 grade_ii, Cure model     -0.779         NA        NA      NA
#> 4 grade_iii, Cure model     0.0378        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00899        NA        NA      NA
#> 2 grade_ii, Survival model   0.00821        NA        NA      NA
#> 3 grade_iii, Survival model  0.0525         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76332           0.02454          -0.77930           0.03783  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 249.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76331764       0.02453600      -0.77930342       0.03783041 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008988177      0.008213210      0.052495081 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4055426219 0.2175248278 0.7355347976 0.6573736165 0.0742134134
#>   [6] 0.9424605716 0.1003441357 0.8999945557 0.7621859203 0.0233052628
#>  [11] 0.3106511209 0.1285013780 0.1434510138 0.1074029721 0.8718096552
#>  [16] 0.2175248278 0.9424605716 0.6315622563 0.0279856262 0.8163137420
#>  [21] 0.7091547049 0.2528334822 0.7892491939 0.0153280885 0.8577515795
#>  [26] 0.3618459399 0.2910206080 0.7756796575 0.0373368061 0.1915257587
#>  [31] 0.8999945557 0.3618459399 0.5811841900 0.0522606187 0.5565329030
#>  [36] 0.0522606187 0.5084065318 0.0522606187 0.6187819823 0.9854683645
#>  [41] 0.1750944186 0.5811841900 0.4392335308 0.0046559796 0.8718096552
#>  [46] 0.4167357625 0.0153280885 0.3106511209 0.0021640313 0.0279856262
#>  [51] 0.1750944186 0.1074029721 0.5565329030 0.6573736165 0.6060936789
#>  [56] 0.5442306972 0.2528334822 0.0742134134 0.3106511209 0.8999945557
#>  [61] 0.1074029721 0.1285013780 0.0867243480 0.0522606187 0.3511544999
#>  [66] 0.3944325816 0.7091547049 0.4392335308 0.1915257587 0.0080235901
#>  [71] 0.8300535010 0.6444161262 0.4167357625 0.4732238846 0.5084065318
#>  [76] 0.0004966671 0.9710200157 0.2086656899 0.8300535010 0.3106511209
#>  [81] 0.6959700809 0.2175248278 0.1669512935 0.7355347976 0.0080235901
#>  [86] 0.0373368061 0.6573736165 0.2717159451 0.5084065318 0.4849325135
#>  [91] 0.3834314285 0.0934386526 0.2717159451 0.4849325135 0.2910206080
#>  [96] 0.7892491939 0.4392335308 0.0373368061 0.1434510138 0.2175248278
#> [101] 0.1588987831 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   171    55    60    96   136   101    36    10   155    92    51    32   190 
#> 16.57 19.34 13.15 14.54 21.83  9.97 21.19 10.53 13.08 22.92 18.23 20.90 20.81 
#>    90   159    58 101.1   180   113   140    81    97    14    69    56   110 
#> 20.94 10.55 19.34  9.97 14.82 22.86 12.68 14.06 19.14 12.89 23.23 12.21 17.56 
#>     8   123   169   158  10.1 110.1    39    66     6  66.1   100  66.2    18 
#> 18.43 13.00 22.41 20.14 10.53 17.56 15.59 22.13 15.64 22.13 16.07 22.13 15.21 
#>    91   150  39.1    85   164 159.1   130  69.1  51.1    86 113.1 150.1  90.1 
#>  5.33 20.33 15.59 16.44 23.60 10.55 16.47 23.23 18.23 23.81 22.86 20.33 20.94 
#>   6.1  96.1   167    26  97.1 136.1  51.2  10.2  90.2  32.1   139  66.3    41 
#> 15.64 14.54 15.55 15.77 19.14 21.83 18.23 10.53 20.94 20.90 21.49 22.13 18.02 
#>    45  81.1  85.1 158.1   129   177   133 130.1     5 100.1    78   187   170 
#> 17.42 14.06 16.44 20.14 23.41 12.53 14.65 16.47 16.43 16.07 23.88  9.92 19.54 
#> 177.1  51.3    57  55.1   128  60.1 129.1 169.1  96.2   179 100.2   188   117 
#> 12.53 18.23 14.46 19.34 20.35 13.15 23.41 22.41 14.54 18.63 16.07 16.16 17.46 
#>   153 179.1 188.1   8.1  14.1   192 169.2 190.1  58.1    68    20   185   119 
#> 21.33 18.63 16.16 18.43 12.89 16.44 22.41 20.81 19.34 20.62 24.00 24.00 24.00 
#>    38    53    75   122    48    31   173 119.1   144   116    83    35   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47     9   196   143    64    11    33   191   120  48.1   186   152   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1  75.1   121 186.1  47.1  33.1 173.1   161   200   146 104.1  38.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.2    80    94  53.1   9.1   109   142  94.1  75.3  11.1    54   135 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193    67    72 146.1  47.2     1  72.1  67.1   1.1   132  75.4   126  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1    74 135.1  72.2  54.1 200.1 173.2    46  72.3  67.3  72.4    19 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.2   138  20.1    82 193.1 121.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005080075               0.582521195               0.153194443 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.28222261              0.02401492              0.19518324 
#>   grade_iii, Cure model 
#>              0.76122484 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 77     7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 68    20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 167   15.55      1  56        1         0
#> 194   22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 81    14.06      1  34        0         0
#> 125   15.65      1  67        1         0
#> 158   20.14      1  74        1         0
#> 5     16.43      1  51        0         1
#> 183    9.24      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 16     8.71      1  71        0         1
#> 56    12.21      1  60        0         0
#> 181   16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 140   12.68      1  59        1         0
#> 58    19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 24    23.89      1  38        0         0
#> 159   10.55      1  50        0         1
#> 136.1 21.83      1  43        0         1
#> 4.1   17.64      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 37    12.52      1  57        1         0
#> 13    14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 4.2   17.64      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 42.1  12.43      1  49        0         1
#> 96    14.54      1  33        0         1
#> 127    3.53      1  62        0         1
#> 128   20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 106   16.67      1  49        1         0
#> 166   19.98      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 45    17.42      1  54        0         1
#> 30.1  17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 41.1  18.02      1  40        1         0
#> 77.1   7.27      1  67        0         1
#> 23.1  16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 88    18.37      1  47        0         0
#> 43    12.10      1  61        0         1
#> 123.1 13.00      1  44        1         0
#> 79    16.23      1  54        1         0
#> 42.2  12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 69    23.23      1  25        0         1
#> 124    9.73      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 69.1  23.23      1  25        0         1
#> 199.1 19.81      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 164   23.60      1  76        0         1
#> 6     15.64      1  39        0         0
#> 124.1  9.73      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 45.1  17.42      1  54        0         1
#> 69.2  23.23      1  25        0         1
#> 81.2  14.06      1  34        0         0
#> 199.2 19.81      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 85    16.44      1  36        0         0
#> 158.1 20.14      1  74        1         0
#> 66    22.13      1  53        0         0
#> 49.1  12.19      1  48        1         0
#> 183.1  9.24      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 123.2 13.00      1  44        1         0
#> 183.2  9.24      1  67        1         0
#> 76    19.22      1  54        0         1
#> 63    22.77      1  31        1         0
#> 155   13.08      1  26        0         0
#> 91     5.33      1  61        0         1
#> 10    10.53      1  34        0         0
#> 60    13.15      1  38        1         0
#> 13.1  14.34      1  54        0         1
#> 68.1  20.62      1  44        0         0
#> 25     6.32      1  34        1         0
#> 49.2  12.19      1  48        1         0
#> 8     18.43      1  32        0         0
#> 194.1 22.40      1  38        0         1
#> 79.1  16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 18    15.21      1  49        1         0
#> 49.3  12.19      1  48        1         0
#> 43.1  12.10      1  61        0         1
#> 158.2 20.14      1  74        1         0
#> 55.2  19.34      1  69        0         1
#> 175   21.91      1  43        0         0
#> 149    8.37      1  33        1         0
#> 55.3  19.34      1  69        0         1
#> 111   17.45      1  47        0         1
#> 168   23.72      1  70        0         0
#> 157   15.10      1  47        0         0
#> 4.3   17.64      1  NA        0         1
#> 158.3 20.14      1  74        1         0
#> 133.1 14.65      1  57        0         0
#> 175.1 21.91      1  43        0         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 191   24.00      0  60        0         1
#> 19    24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 193   24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 109.1 24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 65.1  24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 35.1  24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 84    24.00      0  39        0         1
#> 109.2 24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 138   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 146   24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 103   24.00      0  56        1         0
#> 193.2 24.00      0  45        0         1
#> 112   24.00      0  61        0         0
#> 144   24.00      0  28        0         1
#> 116   24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 65.2  24.00      0  57        1         0
#> 126.1 24.00      0  48        0         0
#> 112.1 24.00      0  61        0         0
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 176.1 24.00      0  43        0         1
#> 193.3 24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 161.2 24.00      0  45        0         0
#> 115.1 24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 31    24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 146.1 24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 2.1   24.00      0   9        0         0
#> 121.1 24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 65.3  24.00      0  57        1         0
#> 7.1   24.00      0  37        1         0
#> 172.2 24.00      0  41        0         0
#> 44.1  24.00      0  56        0         0
#> 115.2 24.00      0  NA        1         0
#> 112.2 24.00      0  61        0         0
#> 21.1  24.00      0  47        0         0
#> 80.1  24.00      0  41        0         0
#> 172.3 24.00      0  41        0         0
#> 165.2 24.00      0  47        0         0
#> 156.1 24.00      0  50        1         0
#> 109.3 24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 103.1 24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.28          NA        NA      NA
#> 2 age, Cure model           0.0240        NA        NA      NA
#> 3 grade_ii, Cure model      0.195         NA        NA      NA
#> 4 grade_iii, Cure model     0.761         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00508        NA        NA      NA
#> 2 grade_ii, Survival model   0.583          NA        NA      NA
#> 3 grade_iii, Survival model  0.153          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.28222           0.02401           0.19518           0.76122  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 245.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.28222261       0.02401492       0.19518324       0.76122484 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005080075      0.582521195      0.153194443 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.38283959 0.71491757 0.97057419 0.28984669 0.34522258 0.84432778
#>   [7] 0.69209915 0.21258379 0.74480973 0.92811613 0.76685144 0.67646974
#>  [13] 0.40713804 0.64433066 0.93438716 0.54090288 0.95252420 0.86430922
#>  [19] 0.62765096 0.31849099 0.82376434 0.45711903 0.33222414 0.60225973
#>  [25] 0.02950758 0.91552191 0.28984669 0.56765838 0.83753384 0.75223242
#>  [31] 0.80299899 0.76685144 0.84432778 0.73735248 0.99415256 0.37026755
#>  [37] 0.66850555 0.61924816 0.44689489 0.38283959 0.58509547 0.56765838
#>  [43] 0.45711903 0.45711903 0.54090288 0.97057419 0.60225973 0.72245672
#>  [49] 0.53153910 0.89647726 0.80299899 0.65260496 0.84432778 0.19516479
#>  [55] 0.12365793 0.90919888 0.12365793 0.83066232 0.09828632 0.68429422
#>  [61] 0.96459865 0.58509547 0.12365793 0.76685144 0.87100317 0.63600178
#>  [67] 0.40713804 0.24396744 0.87100317 0.93438716 0.80299899 0.93438716
#>  [73] 0.50321213 0.17730704 0.79578347 0.98828451 0.92182308 0.78855869
#>  [79] 0.75223242 0.34522258 0.98239587 0.87100317 0.52213062 0.21258379
#>  [85] 0.65260496 0.51269213 0.69978450 0.87100317 0.89647726 0.40713804
#>  [91] 0.45711903 0.25987277 0.95858267 0.45711903 0.55873759 0.06729554
#>  [97] 0.70736195 0.40713804 0.72245672 0.25987277 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   150   180    77   136    68    42   167   194    57    93    81   125   158 
#> 20.33 14.82  7.27 21.83 20.62 12.43 15.55 22.40 14.46 10.33 14.06 15.65 20.14 
#>     5   183    41    16    56   181   139   140    58   153    23    24   159 
#> 16.43  9.24 18.02  8.71 12.21 16.46 21.49 12.68 19.34 21.33 16.92 23.89 10.55 
#> 136.1    30    37    13   123  81.1  42.1    96   127   128   100   106   166 
#> 21.83 17.43 12.52 14.34 13.00 14.06 12.43 14.54  3.53 20.35 16.07 16.67 19.98 
#> 150.1    45  30.1    55  55.1  41.1  77.1  23.1   133    88    43 123.1    79 
#> 20.33 17.42 17.43 19.34 19.34 18.02  7.27 16.92 14.65 18.37 12.10 13.00 16.23 
#>  42.2    15    69   107  69.1   177   164     6    70  45.1  69.2  81.2    49 
#> 12.43 22.68 23.23 11.18 23.23 12.53 23.60 15.64  7.38 17.42 23.23 14.06 12.19 
#>    85 158.1    66  49.1 183.1 123.2 183.2    76    63   155    91    10    60 
#> 16.44 20.14 22.13 12.19  9.24 13.00  9.24 19.22 22.77 13.08  5.33 10.53 13.15 
#>  13.1  68.1    25  49.2     8 194.1  79.1   179    18  49.3  43.1 158.2  55.2 
#> 14.34 20.62  6.32 12.19 18.43 22.40 16.23 18.63 15.21 12.19 12.10 20.14 19.34 
#>   175   149  55.3   111   168   157 158.3 133.1 175.1    64   126   191    19 
#> 21.91  8.37 19.34 17.45 23.72 15.10 20.14 14.65 21.91 24.00 24.00 24.00 24.00 
#>    53   193     3     9   121    35    65   109   156   178   196 109.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1    75   176    44  65.1   172   165 193.1    94  35.1  53.1    80    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.2 172.1   137   138    48 138.1     7   146   104   118   162 165.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 193.2   112   144   116    21  65.2 126.1 112.1   163    62 176.1 193.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83    33 161.2   148    31   143   185 137.1    74   120 146.1   182   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1   119  65.3   7.1 172.2  44.1 112.2  21.1  80.1 172.3 165.2 156.1 109.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 103.1    95 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003822368               0.219665174              -0.169378206 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.659284547             0.004892301             0.678153928 
#>   grade_iii, Cure model 
#>             1.177448869 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 92    22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 49    12.19      1  48        1         0
#> 128   20.35      1  35        0         1
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 128.1 20.35      1  35        0         1
#> 69    23.23      1  25        0         1
#> 145   10.07      1  65        1         0
#> 59    10.16      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 123   13.00      1  44        1         0
#> 88    18.37      1  47        0         0
#> 192   16.44      1  31        1         0
#> 86    23.81      1  58        0         1
#> 52    10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 183    9.24      1  67        1         0
#> 106   16.67      1  49        1         0
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 23.1  16.92      1  61        0         0
#> 36    21.19      1  48        0         1
#> 153   21.33      1  55        1         0
#> 13    14.34      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 36.1  21.19      1  48        0         1
#> 32    20.90      1  37        1         0
#> 8     18.43      1  32        0         0
#> 61    10.12      1  36        0         1
#> 81.1  14.06      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 150   20.33      1  48        0         0
#> 97    19.14      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 180   14.82      1  37        0         0
#> 159.1 10.55      1  50        0         1
#> 89.1  11.44      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 56    12.21      1  60        0         0
#> 100   16.07      1  60        0         0
#> 89.2  11.44      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 117.1 17.46      1  26        0         1
#> 51    18.23      1  83        0         1
#> 190   20.81      1  42        1         0
#> 192.1 16.44      1  31        1         0
#> 88.1  18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 32.1  20.90      1  37        1         0
#> 197.1 21.60      1  69        1         0
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 157   15.10      1  47        0         0
#> 16.1   8.71      1  71        0         1
#> 32.2  20.90      1  37        1         0
#> 92.2  22.92      1  47        0         1
#> 124    9.73      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 5     16.43      1  51        0         1
#> 189   10.51      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 125   15.65      1  67        1         0
#> 77     7.27      1  67        0         1
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 184.1 17.77      1  38        0         0
#> 26    15.77      1  49        0         1
#> 30.1  17.43      1  78        0         0
#> 171   16.57      1  41        0         1
#> 166   19.98      1  48        0         0
#> 101    9.97      1  10        0         1
#> 113   22.86      1  34        0         0
#> 149    8.37      1  33        1         0
#> 13.1  14.34      1  54        0         1
#> 154.2 12.63      1  20        1         0
#> 58    19.34      1  39        0         0
#> 56.1  12.21      1  60        0         0
#> 18    15.21      1  49        1         0
#> 106.1 16.67      1  49        1         0
#> 167   15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 166.1 19.98      1  48        0         0
#> 76.1  19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 145.1 10.07      1  65        1         0
#> 189.1 10.51      1  NA        1         0
#> 32.3  20.90      1  37        1         0
#> 37    12.52      1  57        1         0
#> 99    21.19      1  38        0         1
#> 76.2  19.22      1  54        0         1
#> 192.2 16.44      1  31        1         0
#> 18.1  15.21      1  49        1         0
#> 129   23.41      1  53        1         0
#> 51.1  18.23      1  83        0         1
#> 101.1  9.97      1  10        0         1
#> 96.1  14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 167.1 15.55      1  56        1         0
#> 189.2 10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 86.1  23.81      1  58        0         1
#> 64    24.00      0  43        0         0
#> 162   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 47    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 165.1 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 94    24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 200   24.00      0  64        0         0
#> 118   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 165.2 24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 176   24.00      0  43        0         1
#> 142.1 24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 119.1 24.00      0  17        0         0
#> 161.1 24.00      0  45        0         0
#> 165.3 24.00      0  47        0         0
#> 165.4 24.00      0  47        0         0
#> 74.1  24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 38    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 193   24.00      0  45        0         1
#> 135   24.00      0  58        1         0
#> 165.5 24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 148.1 24.00      0  61        1         0
#> 119.2 24.00      0  17        0         0
#> 174.1 24.00      0  49        1         0
#> 94.1  24.00      0  51        0         1
#> 27    24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 47.1  24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 94.2  24.00      0  51        0         1
#> 12    24.00      0  63        0         0
#> 74.2  24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 104.1 24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 142.2 24.00      0  53        0         0
#> 161.2 24.00      0  45        0         0
#> 7.1   24.00      0  37        1         0
#> 74.3  24.00      0  43        0         1
#> 62.1  24.00      0  71        0         0
#> 7.2   24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 84.1  24.00      0  39        0         1
#> 126.1 24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 54    24.00      0  53        1         0
#> 48    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 120   24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 119.3 24.00      0  17        0         0
#> 119.4 24.00      0  17        0         0
#> 186   24.00      0  45        1         0
#> 162.1 24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 27.1  24.00      0  63        1         0
#> 48.1  24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 12.2  24.00      0  63        0         0
#> 82    24.00      0  34        0         0
#> 84.2  24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 94.3  24.00      0  51        0         1
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.659          NA        NA      NA
#> 2 age, Cure model          0.00489        NA        NA      NA
#> 3 grade_ii, Cure model     0.678          NA        NA      NA
#> 4 grade_iii, Cure model    1.18           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00382        NA        NA      NA
#> 2 grade_ii, Survival model   0.220          NA        NA      NA
#> 3 grade_iii, Survival model -0.169          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.659285          0.004892          0.678154          1.177449  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 250.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.659284547      0.004892301      0.678153928      1.177448869 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003822368      0.219665174     -0.169378206 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.656725927 0.025580976 0.267104603 0.809706830 0.212647629 0.444975918
#>   [7] 0.831767074 0.212647629 0.018598615 0.876215843 0.152595659 0.722227957
#>  [13] 0.314354157 0.497336659 0.002780291 0.853855242 0.700265206 0.932109940
#>  [19] 0.465867311 0.393665988 0.076781891 0.068427178 0.444975918 0.127148477
#>  [25] 0.110562424 0.678386131 0.110562424 0.127148477 0.161762600 0.304626306
#>  [31] 0.865016443 0.700265206 0.025580976 0.645897197 0.230469674 0.294934112
#>  [37] 0.363549490 0.635103896 0.831767074 0.085403493 0.787783965 0.549519693
#>  [43] 0.424286683 0.203741529 0.393665988 0.343601331 0.194895342 0.497336659
#>  [49] 0.314354157 0.943361416 0.161762600 0.085403493 0.744343350 0.538870630
#>  [55] 0.624334736 0.943361416 0.161762600 0.025580976 0.373630856 0.820737940
#>  [61] 0.528282653 0.744343350 0.570964326 0.977254182 0.333703005 0.920863322
#>  [67] 0.373630856 0.560211224 0.424286683 0.486728090 0.239620510 0.898487581
#>  [73] 0.045282624 0.965920866 0.678386131 0.744343350 0.257801585 0.787783965
#>  [79] 0.603042051 0.465867311 0.581724683 0.733285165 0.239620510 0.267104603
#>  [85] 0.060234773 0.045282624 0.876215843 0.161762600 0.776808251 0.127148477
#>  [91] 0.267104603 0.497336659 0.603042051 0.012196214 0.343601331 0.898487581
#>  [97] 0.656725927 0.988633229 0.101922377 0.581724683 0.413944519 0.002780291
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    96    92    76    49   128    23   159 128.1    69   145    90   123    88 
#> 14.54 22.92 19.22 12.19 20.35 16.92 10.55 20.35 23.23 10.07 20.94 13.00 18.37 
#>   192    86    52    81   183   106   117   136   169  23.1    36   153    13 
#> 16.44 23.81 10.42 14.06  9.24 16.67 17.46 21.83 22.41 16.92 21.19 21.33 14.34 
#> 153.1  36.1    32     8    61  81.1  92.1   133   150    97    40   180 159.1 
#> 21.33 21.19 20.90 18.43 10.12 14.06 22.92 14.65 20.33 19.14 18.00 14.82 10.55 
#>   197    56   100    30    68 117.1    51   190 192.1  88.1    16  32.1 197.1 
#> 21.60 12.21 16.07 17.43 20.62 17.46 18.23 20.81 16.44 18.37  8.71 20.90 21.60 
#>   154   188   157  16.1  32.2  92.2   184   107     5 154.1   125    77   108 
#> 12.63 16.16 15.10  8.71 20.90 22.92 17.77 11.18 16.43 12.63 15.65  7.27 18.29 
#>   187 184.1    26  30.1   171   166   101   113   149  13.1 154.2    58  56.1 
#>  9.92 17.77 15.77 17.43 16.57 19.98  9.97 22.86  8.37 14.34 12.63 19.34 12.21 
#>    18 106.1   167   140 166.1  76.1    15 113.1 145.1  32.3    37    99  76.2 
#> 15.21 16.67 15.55 12.68 19.98 19.22 22.68 22.86 10.07 20.90 12.52 21.19 19.22 
#> 192.2  18.1   129  51.1 101.1  96.1    25   139 167.1   111  86.1    64   162 
#> 16.44 15.21 23.41 18.23  9.97 14.54  6.32 21.49 15.55 17.45 23.81 24.00 24.00 
#>   161    47    74   142   160   174   165   144 165.1   191    94   148   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    44 165.2   185    65   119   176 142.1    84 119.1 161.1 165.3 165.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1   121   151    38   103   193   135 165.5   104    28 148.1 119.2 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    27   126  47.1   132  94.2    12  74.2  12.1 104.1   143    35    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62     7 142.2 161.2   7.1  74.3  62.1   7.2   196  84.1 126.1 151.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    87   120    22 119.3 119.4   186 162.1 121.1    20   102  27.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1  12.2    82  84.2   109  94.3    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004737585               0.111644228              -0.004107459 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.15141376              0.01803268              0.77044904 
#>   grade_iii, Cure model 
#>              0.70475844 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 123   13.00      1  44        1         0
#> 177   12.53      1  75        0         0
#> 85    16.44      1  36        0         0
#> 40    18.00      1  28        1         0
#> 171   16.57      1  41        0         1
#> 58    19.34      1  39        0         0
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 99    21.19      1  38        0         1
#> 159   10.55      1  50        0         1
#> 139   21.49      1  63        1         0
#> 25     6.32      1  34        1         0
#> 107   11.18      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 86    23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 77     7.27      1  67        0         1
#> 107.1 11.18      1  54        1         0
#> 10    10.53      1  34        0         0
#> 133   14.65      1  57        0         0
#> 168   23.72      1  70        0         0
#> 100   16.07      1  60        0         0
#> 56    12.21      1  60        0         0
#> 183    9.24      1  67        1         0
#> 36    21.19      1  48        0         1
#> 10.1  10.53      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 26    15.77      1  49        0         1
#> 76    19.22      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 43    12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 101    9.97      1  10        0         1
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 77.1   7.27      1  67        0         1
#> 13    14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 153   21.33      1  55        1         0
#> 42.1  12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 105   19.75      1  60        0         0
#> 159.1 10.55      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 43.1  12.10      1  61        0         1
#> 29.1  15.45      1  68        1         0
#> 63.1  22.77      1  31        1         0
#> 107.2 11.18      1  54        1         0
#> 36.1  21.19      1  48        0         1
#> 70     7.38      1  30        1         0
#> 170   19.54      1  43        0         1
#> 188   16.16      1  46        0         1
#> 125   15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 111   17.45      1  47        0         1
#> 127    3.53      1  62        0         1
#> 79    16.23      1  54        1         0
#> 85.1  16.44      1  36        0         0
#> 6     15.64      1  39        0         0
#> 164.1 23.60      1  76        0         1
#> 195   11.76      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 30    17.43      1  78        0         0
#> 77.2   7.27      1  67        0         1
#> 111.1 17.45      1  47        0         1
#> 153.1 21.33      1  55        1         0
#> 155   13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 133.1 14.65      1  57        0         0
#> 140   12.68      1  59        1         0
#> 195.1 11.76      1  NA        1         0
#> 36.2  21.19      1  48        0         1
#> 89    11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 140.1 12.68      1  59        1         0
#> 133.2 14.65      1  57        0         0
#> 30.1  17.43      1  78        0         0
#> 130   16.47      1  53        0         1
#> 125.1 15.65      1  67        1         0
#> 86.1  23.81      1  58        0         1
#> 169   22.41      1  46        0         0
#> 150   20.33      1  48        0         0
#> 175   21.91      1  43        0         0
#> 179   18.63      1  42        0         0
#> 91.1   5.33      1  61        0         1
#> 188.1 16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 130.1 16.47      1  53        0         1
#> 175.1 21.91      1  43        0         0
#> 183.1  9.24      1  67        1         0
#> 107.3 11.18      1  54        1         0
#> 32.1  20.90      1  37        1         0
#> 195.2 11.76      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 25.2   6.32      1  34        1         0
#> 114   13.68      1  NA        0         0
#> 93.2  10.33      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 183.2  9.24      1  67        1         0
#> 8     18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 56.1  12.21      1  60        0         0
#> 77.3   7.27      1  67        0         1
#> 10.2  10.53      1  34        0         0
#> 61    10.12      1  36        0         1
#> 134   17.81      1  47        1         0
#> 12    24.00      0  63        0         0
#> 132   24.00      0  55        0         0
#> 173   24.00      0  19        0         1
#> 7     24.00      0  37        1         0
#> 75    24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 131   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 120   24.00      0  68        0         1
#> 95    24.00      0  68        0         1
#> 54.1  24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 120.2 24.00      0  68        0         1
#> 121.1 24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 53    24.00      0  32        0         1
#> 71    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 196   24.00      0  19        0         0
#> 120.3 24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 115   24.00      0  NA        1         0
#> 17    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 161.1 24.00      0  45        0         0
#> 147   24.00      0  76        1         0
#> 131.1 24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 17.1  24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 161.2 24.00      0  45        0         0
#> 119.1 24.00      0  17        0         0
#> 163.1 24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 120.4 24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 19.2  24.00      0  57        0         1
#> 193   24.00      0  45        0         1
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 74    24.00      0  43        0         1
#> 163.2 24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 165.1 24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 165.2 24.00      0  47        0         0
#> 119.2 24.00      0  17        0         0
#> 80    24.00      0  41        0         0
#> 33.2  24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 152   24.00      0  36        0         1
#> 176.1 24.00      0  43        0         1
#> 120.5 24.00      0  68        0         1
#> 103   24.00      0  56        1         0
#> 22.1  24.00      0  52        1         0
#> 135.1 24.00      0  58        1         0
#> 144   24.00      0  28        0         1
#> 87.1  24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 17.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.15          NA        NA      NA
#> 2 age, Cure model           0.0180        NA        NA      NA
#> 3 grade_ii, Cure model      0.770         NA        NA      NA
#> 4 grade_iii, Cure model     0.705         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00474        NA        NA      NA
#> 2 grade_ii, Survival model   0.112          NA        NA      NA
#> 3 grade_iii, Survival model -0.00411        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.15141           0.01803           0.77045           0.70476  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.15141376       0.01803268       0.77044904       0.70475844 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004737585      0.111644228     -0.004107459 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.16077224 0.57620058 0.61779731 0.36719429 0.28323884 0.33865556
#>   [7] 0.22034238 0.48448848 0.02798664 0.78847187 0.12996097 0.73434082
#>  [13] 0.09895860 0.93222773 0.69191706 0.78847187 0.00274406 0.36719429
#>  [19] 0.88772869 0.69191706 0.75600428 0.51475874 0.01028922 0.42475934
#>  [25] 0.64935213 0.84343551 0.12996097 0.75600428 0.62832536 0.43464109
#>  [31] 0.22917477 0.02798664 0.67054877 0.26492510 0.83233331 0.04064376
#>  [37] 0.47441397 0.88772869 0.54509817 0.05514334 0.11431299 0.62832536
#>  [43] 0.01610816 0.20286412 0.73434082 0.22917477 0.19425038 0.67054877
#>  [49] 0.48448848 0.05514334 0.69191706 0.12996097 0.87654571 0.21156936
#>  [55] 0.40533624 0.44457034 0.50458510 0.96586378 0.30161829 0.98855466
#>  [61] 0.39559960 0.36719429 0.46436985 0.01610816 0.58660432 0.31997128
#>  [67] 0.88772869 0.30161829 0.11431299 0.56581415 0.93222773 0.51475874
#>  [73] 0.59702557 0.12996097 0.16919355 0.59702557 0.51475874 0.31997128
#>  [79] 0.34817819 0.44457034 0.00274406 0.06896961 0.18571711 0.08400343
#>  [85] 0.24680470 0.96586378 0.40533624 0.27407050 0.34817819 0.08400343
#>  [91] 0.84343551 0.69191706 0.16919355 0.07642411 0.04781088 0.93222773
#>  [97] 0.78847187 0.09895860 0.84343551 0.25584232 0.55544978 0.64935213
#> [103] 0.88772869 0.75600428 0.82123854 0.29241338 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    90   123   177    85    40   171    58    29   129    93    99   159   139 
#> 20.94 13.00 12.53 16.44 18.00 16.57 19.34 15.45 23.41 10.33 21.19 10.55 21.49 
#>    25   107  93.1    86   192    77 107.1    10   133   168   100    56   183 
#>  6.32 11.18 10.33 23.81 16.44  7.27 11.18 10.53 14.65 23.72 16.07 12.21  9.24 
#>    36  10.1    42    26    76 129.1    43    88   101    92   167  77.1    13 
#> 21.19 10.53 12.43 15.77 19.22 23.41 12.10 18.37  9.97 22.92 15.55  7.27 14.34 
#>    63   153  42.1   164   105 159.1  76.1   158  43.1  29.1  63.1 107.2  36.1 
#> 22.77 21.33 12.43 23.60 19.75 10.55 19.22 20.14 12.10 15.45 22.77 11.18 21.19 
#>    70   170   188   125    18    91   111   127    79  85.1     6 164.1    14 
#>  7.38 19.54 16.16 15.65 15.21  5.33 17.45  3.53 16.23 16.44 15.64 23.60 12.89 
#>    30  77.2 111.1 153.1   155  25.1 133.1   140  36.2    32 140.1 133.2  30.1 
#> 17.43  7.27 17.45 21.33 13.08  6.32 14.65 12.68 21.19 20.90 12.68 14.65 17.43 
#>   130 125.1  86.1   169   150   175   179  91.1 188.1    41 130.1 175.1 183.1 
#> 16.47 15.65 23.81 22.41 20.33 21.91 18.63  5.33 16.16 18.02 16.47 21.91  9.24 
#> 107.3  32.1   194   113  25.2  93.2 139.1 183.2     8    60  56.1  77.3  10.2 
#> 11.18 20.90 22.40 22.86  6.32 10.33 21.49  9.24 18.43 13.15 12.21  7.27 10.53 
#>    61   134    12   132   173     7    75   121     1   131    21   172   102 
#> 10.12 17.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   165    54   120    95  54.1   109 120.1    67 120.2 121.1    33    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    53    71   185 172.1  33.1   143   163   161    19    27    28   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196 120.3    83    17   151 161.1   147 131.1  19.1  17.1   176 161.2 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1  27.1 120.4   178    35  83.1    48 151.1    62  19.2   193    72    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    74 163.2   148 165.1  31.1    22 165.2 119.2    80  33.2     9    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 176.1 120.5   103  22.1 135.1   144  87.1     2 144.1  17.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0008783286              0.3934896015              0.2596854108 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.07243310              0.01093159              0.79540066 
#>   grade_iii, Cure model 
#>              1.16699213 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 77     7.27      1  67        0         1
#> 117   17.46      1  26        0         1
#> 37    12.52      1  57        1         0
#> 25     6.32      1  34        1         0
#> 136   21.83      1  43        0         1
#> 150   20.33      1  48        0         0
#> 155   13.08      1  26        0         0
#> 97    19.14      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 5     16.43      1  51        0         1
#> 29    15.45      1  68        1         0
#> 89    11.44      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 166   19.98      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 127    3.53      1  62        0         1
#> 70     7.38      1  30        1         0
#> 57    14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 105   19.75      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 194   22.40      1  38        0         1
#> 57.1  14.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 145   10.07      1  65        1         0
#> 39    15.59      1  37        0         1
#> 197   21.60      1  69        1         0
#> 36    21.19      1  48        0         1
#> 6     15.64      1  39        0         0
#> 45    17.42      1  54        0         1
#> 45.1  17.42      1  54        0         1
#> 159.1 10.55      1  50        0         1
#> 49    12.19      1  48        1         0
#> 110   17.56      1  65        0         1
#> 99    21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 24    23.89      1  38        0         0
#> 25.1   6.32      1  34        1         0
#> 77.1   7.27      1  67        0         1
#> 139   21.49      1  63        1         0
#> 136.1 21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 145.1 10.07      1  65        1         0
#> 68    20.62      1  44        0         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 16.1   8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 63    22.77      1  31        1         0
#> 52    10.42      1  52        0         1
#> 134   17.81      1  47        1         0
#> 124    9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 130   16.47      1  53        0         1
#> 199.1 19.81      1  NA        0         1
#> 171.1 16.57      1  41        0         1
#> 60    13.15      1  38        1         0
#> 157.1 15.10      1  47        0         0
#> 91     5.33      1  61        0         1
#> 150.1 20.33      1  48        0         0
#> 167.1 15.55      1  56        1         0
#> 184   17.77      1  38        0         0
#> 106   16.67      1  49        1         0
#> 105.1 19.75      1  60        0         0
#> 43    12.10      1  61        0         1
#> 5.1   16.43      1  51        0         1
#> 107   11.18      1  54        1         0
#> 106.1 16.67      1  49        1         0
#> 91.1   5.33      1  61        0         1
#> 164   23.60      1  76        0         1
#> 56    12.21      1  60        0         0
#> 77.2   7.27      1  67        0         1
#> 164.1 23.60      1  76        0         1
#> 171.2 16.57      1  41        0         1
#> 123   13.00      1  44        1         0
#> 158   20.14      1  74        1         0
#> 45.2  17.42      1  54        0         1
#> 26    15.77      1  49        0         1
#> 106.2 16.67      1  49        1         0
#> 60.1  13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 139.1 21.49      1  63        1         0
#> 13    14.34      1  54        0         1
#> 92    22.92      1  47        0         1
#> 194.1 22.40      1  38        0         1
#> 88    18.37      1  47        0         0
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 139.2 21.49      1  63        1         0
#> 159.2 10.55      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 150.2 20.33      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 32.1  20.90      1  37        1         0
#> 70.1   7.38      1  30        1         0
#> 88.1  18.37      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 171.3 16.57      1  41        0         1
#> 16.2   8.71      1  71        0         1
#> 99.1  21.19      1  38        0         1
#> 52.1  10.42      1  52        0         1
#> 145.2 10.07      1  65        1         0
#> 1     24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 198   24.00      0  66        0         1
#> 62    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 62.1  24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 112   24.00      0  61        0         0
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 11    24.00      0  42        0         1
#> 84    24.00      0  39        0         1
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 48    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 172.1 24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 132.1 24.00      0  55        0         0
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 160   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 172.2 24.00      0  41        0         0
#> 2.1   24.00      0   9        0         0
#> 46    24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 82    24.00      0  34        0         0
#> 198.2 24.00      0  66        0         1
#> 31    24.00      0  36        0         1
#> 132.2 24.00      0  55        0         0
#> 160.1 24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 198.3 24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 144   24.00      0  28        0         1
#> 143   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 84.1  24.00      0  39        0         1
#> 144.1 24.00      0  28        0         1
#> 11.1  24.00      0  42        0         1
#> 28    24.00      0  67        1         0
#> 71.1  24.00      0  51        0         0
#> 144.2 24.00      0  28        0         1
#> 198.4 24.00      0  66        0         1
#> 131   24.00      0  66        0         0
#> 165.1 24.00      0  47        0         0
#> 46.1  24.00      0  71        0         0
#> 109.1 24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 163.1 24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 62.2  24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 147.1 24.00      0  76        1         0
#> 2.2   24.00      0   9        0         0
#> 146.1 24.00      0  63        1         0
#> 27.1  24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 11.2  24.00      0  42        0         1
#> 186   24.00      0  45        1         0
#> 11.3  24.00      0  42        0         1
#> 54    24.00      0  53        1         0
#> 198.5 24.00      0  66        0         1
#> 22.1  24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.07          NA        NA      NA
#> 2 age, Cure model           0.0109        NA        NA      NA
#> 3 grade_ii, Cure model      0.795         NA        NA      NA
#> 4 grade_iii, Cure model     1.17          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000878        NA        NA      NA
#> 2 grade_ii, Survival model  0.393           NA        NA      NA
#> 3 grade_iii, Survival model 0.260           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.07243           0.01093           0.79540           1.16699  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 249.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.07243310       0.01093159       0.79540066       1.16699213 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0008783286     0.3934896015     0.2596854108 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.81582688 0.94282159 0.47938256 0.77665404 0.96435894 0.17638513
#>   [7] 0.32174287 0.74478720 0.41175735 0.83867619 0.61203218 0.67953060
#>  [13] 0.11769287 0.36202179 0.89893417 0.99288166 0.92828309 0.70425353
#>  [19] 0.27998039 0.37217460 0.14919087 0.70425353 0.76087896 0.66295697
#>  [25] 0.68781032 0.86917226 0.64614939 0.20221026 0.24825434 0.63761440
#>  [31] 0.49797452 0.49797452 0.81582688 0.79241593 0.46987311 0.24825434
#>  [37] 0.47938256 0.01891154 0.96435894 0.94282159 0.21507590 0.17638513
#>  [43] 0.92092479 0.86917226 0.31133177 0.56057954 0.86156192 0.44100205
#>  [49] 0.89147346 0.89893417 0.52506084 0.13392414 0.84636073 0.45070292
#>  [55] 0.08413603 0.59469159 0.56057954 0.72873239 0.68781032 0.97865853
#>  [61] 0.32174287 0.66295697 0.46029140 0.53424064 0.37217460 0.80025219
#>  [67] 0.61203218 0.80806033 0.53424064 0.97865853 0.04974683 0.78453713
#>  [73] 0.94282159 0.04974683 0.56057954 0.75285632 0.35185673 0.49797452
#>  [79] 0.62907543 0.53424064 0.72873239 0.60336389 0.21507590 0.72056394
#>  [85] 0.10139719 0.14919087 0.42159462 0.39214536 0.29083123 0.21507590
#>  [91] 0.81582688 0.39214536 0.32174287 0.76087896 0.29083123 0.92828309
#>  [97] 0.42159462 0.64614939 0.56057954 0.89893417 0.24825434 0.84636073
#> [103] 0.86917226 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   159    77   117    37    25   136   150   155    97    10     5    29   113 
#> 10.55  7.27 17.46 12.52  6.32 21.83 20.33 13.08 19.14 10.53 16.43 15.45 22.86 
#>   166    16   127    70    57    90   105   194  57.1   140   167   157   145 
#> 19.98  8.71  3.53  7.38 14.46 20.94 19.75 22.40 14.46 12.68 15.55 15.10 10.07 
#>    39   197    36     6    45  45.1 159.1    49   110    99 117.1    24  25.1 
#> 15.59 21.60 21.19 15.64 17.42 17.42 10.55 12.19 17.56 21.19 17.46 23.89  6.32 
#>  77.1   139 136.1   149 145.1    68   171    93    40   183  16.1    23    63 
#>  7.27 21.49 21.83  8.37 10.07 20.62 16.57 10.33 18.00  9.24  8.71 16.92 22.77 
#>    52   134   129   130 171.1    60 157.1    91 150.1 167.1   184   106 105.1 
#> 10.42 17.81 23.41 16.47 16.57 13.15 15.10  5.33 20.33 15.55 17.77 16.67 19.75 
#>    43   5.1   107 106.1  91.1   164    56  77.2 164.1 171.2   123   158  45.2 
#> 12.10 16.43 11.18 16.67  5.33 23.60 12.21  7.27 23.60 16.57 13.00 20.14 17.42 
#>    26 106.2  60.1    85 139.1    13    92 194.1    88    76    32 139.2 159.2 
#> 15.77 16.67 13.15 16.44 21.49 14.34 22.92 22.40 18.37 19.22 20.90 21.49 10.55 
#>  76.1 150.2 140.1  32.1  70.1  88.1  39.1 171.3  16.2  99.1  52.1 145.2     1 
#> 19.22 20.33 12.68 20.90  7.38 18.37 15.59 16.57  8.71 21.19 10.42 10.07 24.00 
#>   176    71    64   198    62   152    34  62.1 198.1   112   141   163   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    11    84    95   185   102    48     2   147 172.1   119   118   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   116   174   173   160    74 172.2   2.1    46 174.1    82 198.2    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.2 160.1   182   109   165    22 198.3    83   144   143   178  84.1 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1    28  71.1 144.2 198.4   131 165.1  46.1 109.1   122 185.1   121    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    17    27  17.1    98 163.1 178.1   146    38  62.2 147.1   2.2 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1    72  11.2   186  11.3    54 198.5  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0007548334              0.8483148256              0.3702501991 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.31446748             -0.00183136             -0.20035112 
#>   grade_iii, Cure model 
#>              0.08264403 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 10    10.53      1  34        0         0
#> 139   21.49      1  63        1         0
#> 40    18.00      1  28        1         0
#> 192   16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 166   19.98      1  48        0         0
#> 169   22.41      1  46        0         0
#> 150   20.33      1  48        0         0
#> 66    22.13      1  53        0         0
#> 107   11.18      1  54        1         0
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 199   19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 101    9.97      1  10        0         1
#> 52    10.42      1  52        0         1
#> 69.1  23.23      1  25        0         1
#> 50    10.02      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 26    15.77      1  49        0         1
#> 123   13.00      1  44        1         0
#> 59    10.16      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 108   18.29      1  39        0         1
#> 150.1 20.33      1  48        0         0
#> 128   20.35      1  35        0         1
#> 130   16.47      1  53        0         1
#> 50.1  10.02      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 167   15.55      1  56        1         0
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 76    19.22      1  54        0         1
#> 79    16.23      1  54        1         0
#> 101.1  9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 8     18.43      1  32        0         0
#> 155   13.08      1  26        0         0
#> 6.1   15.64      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 40.1  18.00      1  28        1         0
#> 169.2 22.41      1  46        0         0
#> 88    18.37      1  47        0         0
#> 149    8.37      1  33        1         0
#> 39    15.59      1  37        0         1
#> 97    19.14      1  65        0         1
#> 167.1 15.55      1  56        1         0
#> 180   14.82      1  37        0         0
#> 69.2  23.23      1  25        0         1
#> 37    12.52      1  57        1         0
#> 8.1   18.43      1  32        0         0
#> 195   11.76      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 57    14.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 128.1 20.35      1  35        0         1
#> 129   23.41      1  53        1         0
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 134   17.81      1  47        1         0
#> 190   20.81      1  42        1         0
#> 190.1 20.81      1  42        1         0
#> 192.1 16.44      1  31        1         0
#> 168   23.72      1  70        0         0
#> 59.1  10.16      1  NA        1         0
#> 192.2 16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 60.1  13.15      1  38        1         0
#> 159   10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 8.2   18.43      1  32        0         0
#> 140   12.68      1  59        1         0
#> 29    15.45      1  68        1         0
#> 128.2 20.35      1  35        0         1
#> 32    20.90      1  37        1         0
#> 153   21.33      1  55        1         0
#> 100   16.07      1  60        0         0
#> 111   17.45      1  47        0         1
#> 61.1  10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 123.1 13.00      1  44        1         0
#> 68    20.62      1  44        0         0
#> 89    11.44      1  NA        0         0
#> 51.1  18.23      1  83        0         1
#> 24.1  23.89      1  38        0         0
#> 164   23.60      1  76        0         1
#> 153.1 21.33      1  55        1         0
#> 125.1 15.65      1  67        1         0
#> 170   19.54      1  43        0         1
#> 69.3  23.23      1  25        0         1
#> 91     5.33      1  61        0         1
#> 92    22.92      1  47        0         1
#> 168.1 23.72      1  70        0         0
#> 88.1  18.37      1  47        0         0
#> 40.2  18.00      1  28        1         0
#> 92.1  22.92      1  47        0         1
#> 100.1 16.07      1  60        0         0
#> 96    14.54      1  33        0         1
#> 92.2  22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 78.1  23.88      1  43        0         0
#> 101.2  9.97      1  10        0         1
#> 197   21.60      1  69        1         0
#> 113   22.86      1  34        0         0
#> 56    12.21      1  60        0         0
#> 69.4  23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 69.5  23.23      1  25        0         1
#> 18    15.21      1  49        1         0
#> 182   24.00      0  35        0         0
#> 131   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 11    24.00      0  42        0         1
#> 132   24.00      0  55        0         0
#> 104   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 131.1 24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 118   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 118.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 3     24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 156   24.00      0  50        1         0
#> 11.1  24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 87.1  24.00      0  27        0         0
#> 163   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 198   24.00      0  66        0         1
#> 3.1   24.00      0  31        1         0
#> 185.1 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 3.2   24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 98    24.00      0  34        1         0
#> 80.1  24.00      0  41        0         0
#> 94.1  24.00      0  51        0         1
#> 3.3   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 109.1 24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 104.1 24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 64    24.00      0  43        0         0
#> 143   24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 84    24.00      0  39        0         1
#> 17.1  24.00      0  38        0         1
#> 131.2 24.00      0  66        0         0
#> 143.1 24.00      0  51        0         0
#> 118.2 24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 104.2 24.00      0  50        1         0
#> 3.4   24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 48    24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 65.1  24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 53    24.00      0  32        0         1
#> 121   24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 3.5   24.00      0  31        1         0
#> 198.2 24.00      0  66        0         1
#> 47.1  24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 3.6   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 112   24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 146   24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 120.2 24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 120.3 24.00      0  68        0         1
#> 121.1 24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 131.3 24.00      0  66        0         0
#> 143.2 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.314          NA        NA      NA
#> 2 age, Cure model         -0.00183        NA        NA      NA
#> 3 grade_ii, Cure model    -0.200          NA        NA      NA
#> 4 grade_iii, Cure model    0.0826         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000755        NA        NA      NA
#> 2 grade_ii, Survival model   0.848           NA        NA      NA
#> 3 grade_iii, Survival model  0.370           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.314467         -0.001831         -0.200351          0.082644  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 261 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.31446748      -0.00183136      -0.20035112       0.08264403 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0007548334     0.8483148256     0.3702501991 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.92338247 0.37422417 0.62005950 0.68652916 0.94285987 0.50193571
#>   [7] 0.29029254 0.48338739 0.32582655 0.91030350 0.17363123 0.68652916
#>  [13] 0.84936733 0.95573346 0.92991393 0.17363123 0.99373469 0.74019194
#>  [19] 0.87009797 0.92991393 0.59317455 0.48338739 0.45587086 0.67837767
#>  [25] 0.29029254 0.84229191 0.78506941 0.35003993 0.05732266 0.52984004
#>  [31] 0.71719380 0.95573346 0.76273317 0.54813127 0.86316850 0.76273317
#>  [37] 0.32582655 0.90369576 0.62005950 0.29029254 0.57505943 0.97481075
#>  [43] 0.77761952 0.53901504 0.78506941 0.81387644 0.17363123 0.89036032
#>  [49] 0.54813127 0.98115850 0.83521801 0.02048303 0.45587086 0.15608738
#>  [55] 0.74785526 0.82099695 0.64520344 0.42727328 0.42727328 0.68652916
#>  [61] 0.09598735 0.68652916 0.60224567 0.84936733 0.91685219 0.52060262
#>  [67] 0.54813127 0.88363135 0.79955938 0.45587086 0.41709159 0.38562789
#>  [73] 0.72488226 0.65355812 0.94285987 0.66187055 0.87009797 0.44626501
#>  [79] 0.60224567 0.02048303 0.13569889 0.38562789 0.74785526 0.51130340
#>  [85] 0.17363123 0.98745427 0.24270876 0.09598735 0.57505943 0.62005950
#>  [91] 0.24270876 0.72488226 0.82812007 0.24270876 0.67018768 0.05732266
#>  [97] 0.95573346 0.36237747 0.27798440 0.89702694 0.17363123 0.40658381
#> [103] 0.17363123 0.80675764 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    10   139    40   192    61   166   169   150    66   107    69    85    60 
#> 10.53 21.49 18.00 16.44 10.12 19.98 22.41 20.33 22.13 11.18 23.23 16.44 13.15 
#>   101    52  69.1   127    26   123  52.1   108 150.1   128   130 169.1    81 
#>  9.97 10.42 23.23  3.53 15.77 13.00 10.42 18.29 20.33 20.35 16.47 22.41 14.06 
#>   167   175    78    76    79 101.1     6     8   155   6.1  66.1    49  40.1 
#> 15.55 21.91 23.88 19.22 16.23  9.97 15.64 18.43 13.08 15.64 22.13 12.19 18.00 
#> 169.2    88   149    39    97 167.1   180  69.2    37   8.1    25    57    24 
#> 22.41 18.37  8.37 15.59 19.14 15.55 14.82 23.23 12.52 18.43  6.32 14.46 23.89 
#> 128.1   129   125   133   134   190 190.1 192.1   168 192.2    51  60.1   159 
#> 20.35 23.41 15.65 14.65 17.81 20.81 20.81 16.44 23.72 16.44 18.23 13.15 10.55 
#>    55   8.2   140    29 128.2    32   153   100   111  61.1    23 123.1    68 
#> 19.34 18.43 12.68 15.45 20.35 20.90 21.33 16.07 17.45 10.12 16.92 13.00 20.62 
#>  51.1  24.1   164 153.1 125.1   170  69.3    91    92 168.1  88.1  40.2  92.1 
#> 18.23 23.89 23.60 21.33 15.65 19.54 23.23  5.33 22.92 23.72 18.37 18.00 22.92 
#> 100.1    96  92.2   106  78.1 101.2   197   113    56  69.4    36  69.5    18 
#> 16.07 14.54 22.92 16.67 23.88  9.97 21.60 22.86 12.21 23.23 21.19 23.23 15.21 
#>   182   131   173    11   132   104   152    65    94 131.1   148   118   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1    71 182.1     3    87   160   185 173.1   156  11.1    80  87.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    17   198   3.1 185.1    28   3.2   102    98  80.1  94.1   3.3    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1    20 104.1 198.1    64   143   119    84  17.1 131.2 143.1 118.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 104.2   3.4   144    48 120.1   200  65.1    74    67    53   121   3.5 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.2  47.1    72   3.6   103    82   112   126   141     7   146  72.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1 120.2   196 120.3 121.1    19 131.3 143.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002545827               0.430319949               0.325224016 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.396867285             0.007538921             0.059403696 
#>   grade_iii, Cure model 
#>             0.733190226 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 15    22.68      1  48        0         0
#> 58    19.34      1  39        0         0
#> 117   17.46      1  26        0         1
#> 41    18.02      1  40        1         0
#> 175   21.91      1  43        0         0
#> 133   14.65      1  57        0         0
#> 93    10.33      1  52        0         1
#> 190   20.81      1  42        1         0
#> 93.1  10.33      1  52        0         1
#> 92    22.92      1  47        0         1
#> 85    16.44      1  36        0         0
#> 189   10.51      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 23    16.92      1  61        0         0
#> 18    15.21      1  49        1         0
#> 183    9.24      1  67        1         0
#> 136   21.83      1  43        0         1
#> 123   13.00      1  44        1         0
#> 23.1  16.92      1  61        0         0
#> 97    19.14      1  65        0         1
#> 18.1  15.21      1  49        1         0
#> 10    10.53      1  34        0         0
#> 134   17.81      1  47        1         0
#> 130   16.47      1  53        0         1
#> 26    15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 106   16.67      1  49        1         0
#> 184   17.77      1  38        0         0
#> 69    23.23      1  25        0         1
#> 89    11.44      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 85.1  16.44      1  36        0         0
#> 184.1 17.77      1  38        0         0
#> 184.2 17.77      1  38        0         0
#> 180   14.82      1  37        0         0
#> 50    10.02      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 61    10.12      1  36        0         1
#> 70     7.38      1  30        1         0
#> 93.2  10.33      1  52        0         1
#> 93.3  10.33      1  52        0         1
#> 134.1 17.81      1  47        1         0
#> 30    17.43      1  78        0         0
#> 6     15.64      1  39        0         0
#> 154   12.63      1  20        1         0
#> 192   16.44      1  31        1         0
#> 101    9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 79    16.23      1  54        1         0
#> 168   23.72      1  70        0         0
#> 153   21.33      1  55        1         0
#> 30.1  17.43      1  78        0         0
#> 76    19.22      1  54        0         1
#> 110   17.56      1  65        0         1
#> 10.1  10.53      1  34        0         0
#> 5     16.43      1  51        0         1
#> 149    8.37      1  33        1         0
#> 55    19.34      1  69        0         1
#> 139   21.49      1  63        1         0
#> 153.1 21.33      1  55        1         0
#> 58.1  19.34      1  39        0         0
#> 153.2 21.33      1  55        1         0
#> 63    22.77      1  31        1         0
#> 106.1 16.67      1  49        1         0
#> 136.1 21.83      1  43        0         1
#> 92.1  22.92      1  47        0         1
#> 168.1 23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 18.2  15.21      1  49        1         0
#> 52    10.42      1  52        0         1
#> 50.1  10.02      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 190.1 20.81      1  42        1         0
#> 30.2  17.43      1  78        0         0
#> 107   11.18      1  54        1         0
#> 16     8.71      1  71        0         1
#> 77     7.27      1  67        0         1
#> 63.1  22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 55.1  19.34      1  69        0         1
#> 199   19.81      1  NA        0         1
#> 85.2  16.44      1  36        0         0
#> 166   19.98      1  48        0         0
#> 36    21.19      1  48        0         1
#> 111   17.45      1  47        0         1
#> 111.1 17.45      1  47        0         1
#> 76.1  19.22      1  54        0         1
#> 88    18.37      1  47        0         0
#> 134.2 17.81      1  47        1         0
#> 90    20.94      1  50        0         1
#> 63.2  22.77      1  31        1         0
#> 100   16.07      1  60        0         0
#> 39    15.59      1  37        0         1
#> 153.3 21.33      1  55        1         0
#> 26.1  15.77      1  49        0         1
#> 25     6.32      1  34        1         0
#> 66    22.13      1  53        0         0
#> 169   22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 97.1  19.14      1  65        0         1
#> 177.1 12.53      1  75        0         0
#> 168.2 23.72      1  70        0         0
#> 145   10.07      1  65        1         0
#> 24    23.89      1  38        0         0
#> 91     5.33      1  61        0         1
#> 10.2  10.53      1  34        0         0
#> 93.4  10.33      1  52        0         1
#> 125   15.65      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 29.1  15.45      1  68        1         0
#> 137   24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 3     24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 138   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 95    24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 116   24.00      0  58        0         1
#> 11.1  24.00      0  42        0         1
#> 161   24.00      0  45        0         0
#> 191.1 24.00      0  60        0         1
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 72.1  24.00      0  40        0         1
#> 120   24.00      0  68        0         1
#> 116.1 24.00      0  58        0         1
#> 186.1 24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 151   24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 200   24.00      0  64        0         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 54    24.00      0  53        1         0
#> 161.1 24.00      0  45        0         0
#> 48.1  24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 20    24.00      0  46        1         0
#> 95.1  24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 191.2 24.00      0  60        0         1
#> 135   24.00      0  58        1         0
#> 162.1 24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 38.1  24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 65    24.00      0  57        1         0
#> 147   24.00      0  76        1         0
#> 2.1   24.00      0   9        0         0
#> 198   24.00      0  66        0         1
#> 186.2 24.00      0  45        1         0
#> 121.1 24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 38.2  24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 200.1 24.00      0  64        0         0
#> 172.1 24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 132   24.00      0  55        0         0
#> 28.1  24.00      0  67        1         0
#> 118   24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 54.1  24.00      0  53        1         0
#> 35    24.00      0  51        0         0
#> 121.2 24.00      0  57        1         0
#> 172.2 24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 28.2  24.00      0  67        1         0
#> 104.1 24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 104.2 24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 80.1  24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 131.1 24.00      0  66        0         0
#> 162.2 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.397          NA        NA      NA
#> 2 age, Cure model          0.00754        NA        NA      NA
#> 3 grade_ii, Cure model     0.0594         NA        NA      NA
#> 4 grade_iii, Cure model    0.733          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00255        NA        NA      NA
#> 2 grade_ii, Survival model   0.430          NA        NA      NA
#> 3 grade_iii, Survival model  0.325          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.396867          0.007539          0.059404          0.733190  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 261.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.396867285      0.007538921      0.059403696      0.733190226 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002545827      0.430319949      0.325224016 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.23249393 0.43136674 0.59338739 0.52844693 0.28421922 0.80905724
#>   [7] 0.89746132 0.39282389 0.89746132 0.16496241 0.67879465 0.84356295
#>  [13] 0.86394063 0.64038710 0.78134124 0.94933522 0.29682987 0.82294564
#>  [19] 0.64038710 0.48513799 0.78134124 0.87069344 0.53693553 0.67117238
#>  [25] 0.73080227 0.76716808 0.65591374 0.56117167 0.14739787 0.04820488
#>  [31] 0.67879465 0.56117167 0.56117167 0.80208736 0.51141542 0.92981275
#>  [37] 0.97484929 0.89746132 0.89746132 0.53693553 0.61714482 0.75267047
#>  [43] 0.83671477 0.67879465 0.94285257 0.25878206 0.71595284 0.09830929
#>  [49] 0.33212932 0.61714482 0.46725004 0.58530213 0.87069344 0.70846241
#>  [55] 0.96849522 0.43136674 0.32044764 0.33212932 0.43136674 0.33212932
#>  [61] 0.19487192 0.65591374 0.29682987 0.16496241 0.09830929 0.81601776
#>  [67] 0.07567643 0.78134124 0.89075331 0.51141542 0.39282389 0.61714482
#>  [73] 0.85715748 0.96211298 0.98117616 0.19487192 0.41218853 0.43136674
#>  [79] 0.67879465 0.42179179 0.37233599 0.60142021 0.60142021 0.46725004
#>  [85] 0.50261779 0.53693553 0.38265839 0.19487192 0.72338385 0.75993729
#>  [91] 0.33212932 0.73080227 0.98747694 0.27154361 0.24568159 0.82983177
#>  [97] 0.48513799 0.84356295 0.09830929 0.93635115 0.01944655 0.99375064
#> [103] 0.87069344 0.89746132 0.74539632 0.94933522 0.76716808 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    15    58   117    41   175   133    93   190  93.1    92    85   177   159 
#> 22.68 19.34 17.46 18.02 21.91 14.65 10.33 20.81 10.33 22.92 16.44 12.53 10.55 
#>    23    18   183   136   123  23.1    97  18.1    10   134   130    26    29 
#> 16.92 15.21  9.24 21.83 13.00 16.92 19.14 15.21 10.53 17.81 16.47 15.77 15.45 
#>   106   184    69    78  85.1 184.1 184.2   180    51    61    70  93.2  93.3 
#> 16.67 17.77 23.23 23.88 16.44 17.77 17.77 14.82 18.23 10.12  7.38 10.33 10.33 
#> 134.1    30     6   154   192   101   194    79   168   153  30.1    76   110 
#> 17.81 17.43 15.64 12.63 16.44  9.97 22.40 16.23 23.72 21.33 17.43 19.22 17.56 
#>  10.1     5   149    55   139 153.1  58.1 153.2    63 106.1 136.1  92.1 168.1 
#> 10.53 16.43  8.37 19.34 21.49 21.33 19.34 21.33 22.77 16.67 21.83 22.92 23.72 
#>    57    86  18.2    52  51.1 190.1  30.2   107    16    77  63.1   158  55.1 
#> 14.46 23.81 15.21 10.42 18.23 20.81 17.43 11.18  8.71  7.27 22.77 20.14 19.34 
#>  85.2   166    36   111 111.1  76.1    88 134.2    90  63.2   100    39 153.3 
#> 16.44 19.98 21.19 17.45 17.45 19.22 18.37 17.81 20.94 22.77 16.07 15.59 21.33 
#>  26.1    25    66   169    14  97.1 177.1 168.2   145    24    91  10.2  93.4 
#> 15.77  6.32 22.13 22.41 12.89 19.14 12.53 23.72 10.07 23.89  5.33 10.53 10.33 
#>   125 183.1  29.1   137   148     3    48   102   138   191   186   131    38 
#> 15.65  9.24 15.45 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172     9   109   178    11    95     2   116  11.1   161 191.1    33   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   121    72   112  72.1   120 116.1 186.1   142    75   151   193   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34    53    54 161.1  48.1   163 142.1   103    20  95.1   119 191.2   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1    80    28  38.1   146    65   147   2.1   198 186.2 121.1    12  38.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 200.1 172.1   173   132  28.1   118  33.1   104  54.1    35 121.2 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   182  28.2 104.1   122 104.2    17    74  80.1    64 131.1 162.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00493963                0.62964522                0.37123774 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.338967871             0.005032584             0.220652605 
#>   grade_iii, Cure model 
#>             0.785079788 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 197   21.60      1  69        1         0
#> 23    16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 52    10.42      1  52        0         1
#> 58    19.34      1  39        0         0
#> 4     17.64      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 140.1 12.68      1  59        1         0
#> 36    21.19      1  48        0         1
#> 127    3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 58.1  19.34      1  39        0         0
#> 68    20.62      1  44        0         0
#> 124    9.73      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 85    16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 180   14.82      1  37        0         0
#> 30    17.43      1  78        0         0
#> 157   15.10      1  47        0         0
#> 76    19.22      1  54        0         1
#> 159   10.55      1  50        0         1
#> 66    22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 18    15.21      1  49        1         0
#> 199   19.81      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 41.1  18.02      1  40        1         0
#> 106   16.67      1  49        1         0
#> 157.1 15.10      1  47        0         0
#> 111   17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 133   14.65      1  57        0         0
#> 183    9.24      1  67        1         0
#> 90    20.94      1  50        0         1
#> 159.1 10.55      1  50        0         1
#> 81    14.06      1  34        0         0
#> 175   21.91      1  43        0         0
#> 199.1 19.81      1  NA        0         1
#> 194   22.40      1  38        0         1
#> 150   20.33      1  48        0         0
#> 45    17.42      1  54        0         1
#> 157.2 15.10      1  47        0         0
#> 164   23.60      1  76        0         1
#> 77     7.27      1  67        0         1
#> 10    10.53      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 108   18.29      1  39        0         1
#> 51    18.23      1  83        0         1
#> 149.2  8.37      1  33        1         0
#> 63    22.77      1  31        1         0
#> 60    13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 199.2 19.81      1  NA        0         1
#> 149.3  8.37      1  33        1         0
#> 14    12.89      1  21        0         0
#> 107   11.18      1  54        1         0
#> 113   22.86      1  34        0         0
#> 168.1 23.72      1  70        0         0
#> 192   16.44      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 69    23.23      1  25        0         1
#> 184   17.77      1  38        0         0
#> 106.1 16.67      1  49        1         0
#> 29    15.45      1  68        1         0
#> 85.1  16.44      1  36        0         0
#> 195   11.76      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 40    18.00      1  28        1         0
#> 91     5.33      1  61        0         1
#> 139   21.49      1  63        1         0
#> 40.1  18.00      1  28        1         0
#> 70     7.38      1  30        1         0
#> 189   10.51      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 61    10.12      1  36        0         1
#> 184.1 17.77      1  38        0         0
#> 110.1 17.56      1  65        0         1
#> 93    10.33      1  52        0         1
#> 171   16.57      1  41        0         1
#> 15    22.68      1  48        0         0
#> 167   15.55      1  56        1         0
#> 101    9.97      1  10        0         1
#> 97    19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 60.1  13.15      1  38        1         0
#> 45.1  17.42      1  54        0         1
#> 56.1  12.21      1  60        0         0
#> 6.1   15.64      1  39        0         0
#> 192.1 16.44      1  31        1         0
#> 180.2 14.82      1  37        0         0
#> 130   16.47      1  53        0         1
#> 32    20.90      1  37        1         0
#> 10.1  10.53      1  34        0         0
#> 154   12.63      1  20        1         0
#> 78    23.88      1  43        0         0
#> 92    22.92      1  47        0         1
#> 58.2  19.34      1  39        0         0
#> 111.1 17.45      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 76.1  19.22      1  54        0         1
#> 140.2 12.68      1  59        1         0
#> 12    24.00      0  63        0         0
#> 7     24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 73    24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 38.1  24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 172   24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 161   24.00      0  45        0         0
#> 9     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 118.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 38.2  24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 172.1 24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 161.2 24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 62    24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 196   24.00      0  19        0         0
#> 11    24.00      0  42        0         1
#> 148.1 24.00      0  61        1         0
#> 31.1  24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 148.2 24.00      0  61        1         0
#> 71.1  24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 54.1  24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 83.1  24.00      0   6        0         0
#> 163.1 24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 163.2 24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 72    24.00      0  40        0         1
#> 196.1 24.00      0  19        0         0
#> 46.1  24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 12.2  24.00      0  63        0         0
#> 28    24.00      0  67        1         0
#> 161.3 24.00      0  45        0         0
#> 116.1 24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 95    24.00      0  68        0         1
#> 31.2  24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 47    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 67    24.00      0  25        0         0
#> 72.1  24.00      0  40        0         1
#> 109.1 24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 163.3 24.00      0  66        0         0
#> 176.1 24.00      0  43        0         1
#> 44.1  24.00      0  56        0         0
#> 7.1   24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.339          NA        NA      NA
#> 2 age, Cure model          0.00503        NA        NA      NA
#> 3 grade_ii, Cure model     0.221          NA        NA      NA
#> 4 grade_iii, Cure model    0.785          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00494        NA        NA      NA
#> 2 grade_ii, Survival model   0.630          NA        NA      NA
#> 3 grade_iii, Survival model  0.371          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.338968          0.005033          0.220653          0.785080  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 258.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.338967871      0.005032584      0.220652605      0.785079788 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00493963       0.62964522       0.37123774 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.155659402 0.476662282 0.753266658 0.409386954 0.887131685 0.269113799
#>   [7] 0.931578495 0.753266658 0.187939278 0.991423849 0.606971368 0.269113799
#>  [13] 0.228316691 0.588669381 0.533799480 0.806921031 0.931578495 0.680014358
#>  [19] 0.447759872 0.652849937 0.299565564 0.851611449 0.122962046 0.351173361
#>  [25] 0.643746206 0.248529144 0.524330303 0.351173361 0.486396923 0.652849937
#>  [31] 0.428637402 0.177450565 0.707361377 0.922742078 0.198344801 0.851611449
#>  [37] 0.716626800 0.144362941 0.112206907 0.238377671 0.457492612 0.652849937
#>  [43] 0.043820022 0.974256152 0.869343515 0.198344801 0.003698015 0.022759061
#>  [49] 0.570119875 0.330477583 0.340819489 0.931578495 0.090521099 0.725910783
#>  [55] 0.258768952 0.931578495 0.744103103 0.842674034 0.078968843 0.022759061
#>  [61] 0.533799480 0.588669381 0.788990608 0.579406125 0.056097160 0.390090006
#>  [67] 0.486396923 0.634581114 0.533799480 0.122962046 0.370955212 0.982842715
#>  [73] 0.166688322 0.370955212 0.965666478 0.680014358 0.904977362 0.390090006
#>  [79] 0.409386954 0.896059906 0.505316567 0.101241014 0.625370604 0.913876108
#>  [85] 0.320072037 0.824811554 0.824811554 0.725910783 0.457492612 0.806921031
#>  [91] 0.606971368 0.533799480 0.680014358 0.514833583 0.218341635 0.869343515
#>  [97] 0.780036005 0.012357646 0.067674476 0.269113799 0.428637402 0.797976787
#> [103] 0.299565564 0.753266658 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   197    23   140   110    52    58   149 140.1    36   127     6  58.1    68 
#> 21.60 16.92 12.68 17.56 10.42 19.34  8.37 12.68 21.19  3.53 15.64 19.34 20.62 
#>    26    85    56 149.1   180    30   157    76   159    66    41    18   166 
#> 15.77 16.44 12.21  8.37 14.82 17.43 15.10 19.22 10.55 22.13 18.02 15.21 19.98 
#>   181  41.1   106 157.1   111   153   133   183    90 159.1    81   175   194 
#> 16.46 18.02 16.67 15.10 17.45 21.33 14.65  9.24 20.94 10.55 14.06 21.91 22.40 
#>   150    45 157.2   164    77    10  90.1    24   168     5   108    51 149.2 
#> 20.33 17.42 15.10 23.60  7.27 10.53 20.94 23.89 23.72 16.43 18.29 18.23  8.37 
#>    63    60   105 149.3    14   107   113 168.1   192  26.1   177   188    69 
#> 22.77 13.15 19.75  8.37 12.89 11.18 22.86 23.72 16.44 15.77 12.53 16.16 23.23 
#>   184 106.1    29  85.1  66.1    40    91   139  40.1    70 180.1    61 184.1 
#> 17.77 16.67 15.45 16.44 22.13 18.00  5.33 21.49 18.00  7.38 14.82 10.12 17.77 
#> 110.1    93   171    15   167   101    97    43  43.1  60.1  45.1  56.1   6.1 
#> 17.56 10.33 16.57 22.68 15.55  9.97 19.14 12.10 12.10 13.15 17.42 12.21 15.64 
#> 192.1 180.2   130    32  10.1   154    78    92  58.2 111.1    37  76.1 140.2 
#> 16.44 14.82 16.47 20.90 10.53 12.63 23.88 22.92 19.34 17.45 12.52 19.22 12.68 
#>    12     7    33     3  33.1    83    48   178   118  12.1    38    87   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53  38.1  87.1   172   148   152    82   161     9   142 118.1   112   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.2   3.1    46   162   9.1 161.1 172.1   141    31    71    22 161.2    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193    62    84   146     1   120    54   196    11 148.1  31.1   147 148.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1 126.1  54.1   163  83.1 163.1   109 163.2   116    72 196.1  46.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 112.1  12.2    28 161.3 116.1   102    95  31.2   185   200    47    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    67  72.1 109.1    75 163.3 176.1  44.1   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01696934                0.50960992               -0.01054740 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.246235831             0.009295983            -0.490021337 
#>   grade_iii, Cure model 
#>             0.400469757 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 81    14.06      1  34        0         0
#> 107   11.18      1  54        1         0
#> 49    12.19      1  48        1         0
#> 107.1 11.18      1  54        1         0
#> 117   17.46      1  26        0         1
#> 77     7.27      1  67        0         1
#> 110   17.56      1  65        0         1
#> 41    18.02      1  40        1         0
#> 50    10.02      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 181   16.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 149    8.37      1  33        1         0
#> 183    9.24      1  67        1         0
#> 39    15.59      1  37        0         1
#> 56    12.21      1  60        0         0
#> 188   16.16      1  46        0         1
#> 164   23.60      1  76        0         1
#> 117.1 17.46      1  26        0         1
#> 183.1  9.24      1  67        1         0
#> 181.1 16.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 111.1 17.45      1  47        0         1
#> 166   19.98      1  48        0         0
#> 49.1  12.19      1  48        1         0
#> 68    20.62      1  44        0         0
#> 86    23.81      1  58        0         1
#> 180   14.82      1  37        0         0
#> 76    19.22      1  54        0         1
#> 177   12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 140   12.68      1  59        1         0
#> 40    18.00      1  28        1         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 93    10.33      1  52        0         1
#> 149.1  8.37      1  33        1         0
#> 50.1  10.02      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 188.1 16.16      1  46        0         1
#> 107.2 11.18      1  54        1         0
#> 10    10.53      1  34        0         0
#> 181.2 16.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 45    17.42      1  54        0         1
#> 175   21.91      1  43        0         0
#> 56.1  12.21      1  60        0         0
#> 110.1 17.56      1  65        0         1
#> 79    16.23      1  54        1         0
#> 60    13.15      1  38        1         0
#> 93.1  10.33      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 194   22.40      1  38        0         1
#> 86.1  23.81      1  58        0         1
#> 195.1 11.76      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 16     8.71      1  71        0         1
#> 66.1  22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 79.1  16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 127    3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 136   21.83      1  43        0         1
#> 125   15.65      1  67        1         0
#> 99.1  21.19      1  38        0         1
#> 101.1  9.97      1  10        0         1
#> 57.1  14.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 32    20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 117.2 17.46      1  26        0         1
#> 125.1 15.65      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 59.1  10.16      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 86.2  23.81      1  58        0         1
#> 79.2  16.23      1  54        1         0
#> 134.1 17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 50.2  10.02      1  NA        1         0
#> 101.2  9.97      1  10        0         1
#> 157   15.10      1  47        0         0
#> 59.2  10.16      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 105   19.75      1  60        0         0
#> 101.3  9.97      1  10        0         1
#> 184   17.77      1  38        0         0
#> 14    12.89      1  21        0         0
#> 63    22.77      1  31        1         0
#> 184.1 17.77      1  38        0         0
#> 158   20.14      1  74        1         0
#> 42    12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 81.1  14.06      1  34        0         0
#> 93.2  10.33      1  52        0         1
#> 171   16.57      1  41        0         1
#> 158.1 20.14      1  74        1         0
#> 14.1  12.89      1  21        0         0
#> 99.2  21.19      1  38        0         1
#> 154   12.63      1  20        1         0
#> 159   10.55      1  50        0         1
#> 170   19.54      1  43        0         1
#> 173   24.00      0  19        0         1
#> 27    24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 119   24.00      0  17        0         0
#> 22    24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 7     24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 22.1  24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 173.1 24.00      0  19        0         1
#> 98    24.00      0  34        1         0
#> 103   24.00      0  56        1         0
#> 109   24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 22.2  24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 119.1 24.00      0  17        0         0
#> 104.1 24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 22.3  24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 193   24.00      0  45        0         1
#> 98.1  24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 200   24.00      0  64        0         0
#> 74.1  24.00      0  43        0         1
#> 27.1  24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 54    24.00      0  53        1         0
#> 3     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 54.1  24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 141   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 198   24.00      0  66        0         1
#> 200.1 24.00      0  64        0         0
#> 156.1 24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 27.2  24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 173.2 24.00      0  19        0         1
#> 74.2  24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 3.1   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 74.3  24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 193.1 24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 84    24.00      0  39        0         1
#> 165.1 24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 54.2  24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 20    24.00      0  46        1         0
#> 47    24.00      0  38        0         1
#> 121.1 24.00      0  57        1         0
#> 120.1 24.00      0  68        0         1
#> 54.3  24.00      0  53        1         0
#> 172   24.00      0  41        0         0
#> 121.2 24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 3.2   24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 172.1 24.00      0  41        0         0
#> 198.1 24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.246          NA        NA      NA
#> 2 age, Cure model          0.00930        NA        NA      NA
#> 3 grade_ii, Cure model    -0.490          NA        NA      NA
#> 4 grade_iii, Cure model    0.400          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0170        NA        NA      NA
#> 2 grade_ii, Survival model    0.510         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0105        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.246236          0.009296         -0.490021          0.400470  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 251.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.246235831      0.009295983     -0.490021337      0.400469757 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01696934       0.50960992      -0.01054740 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.735529e-01 2.359008e-02 4.293414e-01 6.531812e-01 6.083200e-01
#>   [6] 6.531812e-01 1.498898e-01 9.644589e-01 1.345752e-01 9.338259e-02
#>  [11] 3.913874e-01 2.087308e-01 6.379553e-01 9.124383e-01 8.609766e-01
#>  [16] 3.317067e-01 5.790597e-01 2.664168e-01 2.082706e-03 1.498898e-01
#>  [21] 8.609766e-01 2.087308e-01 8.670174e-02 1.735529e-01 6.275970e-02
#>  [26] 6.083200e-01 4.317615e-02 4.355287e-05 3.791039e-01 8.029241e-02
#>  [31] 5.228854e-01 1.068793e-01 4.955659e-01 1.001388e-01 1.161984e-02
#>  [36] 7.464105e-01 9.124383e-01 2.725243e-02 2.664168e-01 6.531812e-01
#>  [41] 7.146137e-01 2.087308e-01 5.186433e-03 1.905902e-01 1.692800e-02
#>  [46] 5.790597e-01 1.345752e-01 2.369860e-01 4.555118e-01 7.464105e-01
#>  [51] 6.507174e-04 9.305306e-03 4.355287e-05 4.164020e-01 8.950176e-01
#>  [56] 1.161984e-02 5.367717e-01 2.369860e-01 7.954241e-01 9.821242e-01
#>  [61] 3.202616e-01 6.507174e-04 2.011476e-02 2.981560e-01 2.725243e-02
#>  [66] 7.954241e-01 3.913874e-01 9.470117e-01 3.880800e-02 3.441008e-03
#>  [71] 1.498898e-01 2.981560e-01 7.146137e-01 5.367717e-01 3.433412e-01
#>  [76] 4.355287e-05 2.369860e-01 1.068793e-01 4.779005e-02 7.954241e-01
#>  [81] 3.670032e-01 2.872738e-01 6.831658e-02 7.954241e-01 1.203484e-01
#>  [86] 4.688397e-01 7.239091e-03 1.203484e-01 5.261550e-02 5.647091e-01
#>  [91] 3.551180e-01 4.293414e-01 7.464105e-01 1.995561e-01 5.261550e-02
#>  [96] 4.688397e-01 2.725243e-02 5.092597e-01 6.988457e-01 7.417809e-02
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   111   153    81   107    49 107.1   117    77   110    41    57   181    43 
#> 17.45 21.33 14.06 11.18 12.19 11.18 17.46  7.27 17.56 18.02 14.46 16.46 12.10 
#>   149   183    39    56   188   164 117.1 183.1 181.1    88 111.1   166  49.1 
#>  8.37  9.24 15.59 12.21 16.16 23.60 17.46  9.24 16.46 18.37 17.45 19.98 12.19 
#>    68    86   180    76   177   134   140    40    66    93 149.1    99 188.1 
#> 20.62 23.81 14.82 19.22 12.53 17.81 12.68 18.00 22.13 10.33  8.37 21.19 16.16 
#> 107.2    10 181.2   113    45   175  56.1 110.1    79    60  93.1   168   194 
#> 11.18 10.53 16.46 22.86 17.42 21.91 12.21 17.56 16.23 13.15 10.33 23.72 22.40 
#>  86.1    13    16  66.1    37  79.1   101   127     6 168.1   136   125  99.1 
#> 23.81 14.34  8.71 22.13 12.52 16.23  9.97  3.53 15.64 23.72 21.83 15.65 21.19 
#> 101.1  57.1    70    32    92 117.2 125.1  10.1  37.1   167  86.2  79.2 134.1 
#>  9.97 14.46  7.38 20.90 22.92 17.46 15.65 10.53 12.52 15.55 23.81 16.23 17.81 
#>   128 101.2   157   100   105 101.3   184    14    63 184.1   158    42    18 
#> 20.35  9.97 15.10 16.07 19.75  9.97 17.77 12.89 22.77 17.77 20.14 12.43 15.21 
#>  81.1  93.2   171 158.1  14.1  99.2   154   159   170   173    27   151   104 
#> 14.06 10.33 16.57 20.14 12.89 21.19 12.63 10.55 19.54 24.00 24.00 24.00 24.00 
#>   119    22    74    87     7   112   161  22.1   116 173.1    98   103   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31  22.2   165 119.1 104.1    11  22.3   131 116.1   185   196   193  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   135   200  74.1  27.1   142   147    54     3   156    80  54.1    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141  48.1   174   198 200.1 156.1   120   160  27.2    38 142.1   178 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.2   121   3.1   186  74.3   146    53 193.1    94    84 165.1   144  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    20    47 121.1 120.1  54.3   172 121.2   137 137.1    71    17    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2 178.1 172.1 198.1   176 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01061897                0.76782630                0.34313123 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.308320484            -0.005171354             0.133031928 
#>   grade_iii, Cure model 
#>             0.313464720 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 140   12.68      1  59        1         0
#> 133   14.65      1  57        0         0
#> 88    18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 4     17.64      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 166   19.98      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 8     18.43      1  32        0         0
#> 70     7.38      1  30        1         0
#> 113   22.86      1  34        0         0
#> 125   15.65      1  67        1         0
#> 106   16.67      1  49        1         0
#> 18    15.21      1  49        1         0
#> 10    10.53      1  34        0         0
#> 24    23.89      1  38        0         0
#> 149    8.37      1  33        1         0
#> 129   23.41      1  53        1         0
#> 16     8.71      1  71        0         1
#> 179   18.63      1  42        0         0
#> 37    12.52      1  57        1         0
#> 105   19.75      1  60        0         0
#> 180   14.82      1  37        0         0
#> 6     15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 139   21.49      1  63        1         0
#> 170.1 19.54      1  43        0         1
#> 134   17.81      1  47        1         0
#> 99    21.19      1  38        0         1
#> 150   20.33      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 114   13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 10.1  10.53      1  34        0         0
#> 149.1  8.37      1  33        1         0
#> 114.1 13.68      1  NA        0         0
#> 128.1 20.35      1  35        0         1
#> 155   13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 179.2 18.63      1  42        0         0
#> 170.2 19.54      1  43        0         1
#> 153   21.33      1  55        1         0
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 106.1 16.67      1  49        1         0
#> 155.1 13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 32.1  20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 42    12.43      1  49        0         1
#> 5     16.43      1  51        0         1
#> 79    16.23      1  54        1         0
#> 29    15.45      1  68        1         0
#> 181   16.46      1  45        0         1
#> 93    10.33      1  52        0         1
#> 14    12.89      1  21        0         0
#> 14.1  12.89      1  21        0         0
#> 100   16.07      1  60        0         0
#> 77     7.27      1  67        0         1
#> 195   11.76      1  NA        1         0
#> 180.1 14.82      1  37        0         0
#> 68    20.62      1  44        0         0
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 93.1  10.33      1  52        0         1
#> 190   20.81      1  42        1         0
#> 68.1  20.62      1  44        0         0
#> 68.2  20.62      1  44        0         0
#> 134.1 17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 81    14.06      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 194   22.40      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 69    23.23      1  25        0         1
#> 107   11.18      1  54        1         0
#> 100.1 16.07      1  60        0         0
#> 180.2 14.82      1  37        0         0
#> 189   10.51      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 187    9.92      1  39        1         0
#> 93.2  10.33      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 192   16.44      1  31        1         0
#> 78.2  23.88      1  43        0         0
#> 70.1   7.38      1  30        1         0
#> 86    23.81      1  58        0         1
#> 124.1  9.73      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 24.1  23.89      1  38        0         0
#> 40    18.00      1  28        1         0
#> 136   21.83      1  43        0         1
#> 164.2 23.60      1  76        0         1
#> 171   16.57      1  41        0         1
#> 5.1   16.43      1  51        0         1
#> 40.1  18.00      1  28        1         0
#> 78.3  23.88      1  43        0         0
#> 43    12.10      1  61        0         1
#> 36    21.19      1  48        0         1
#> 187.1  9.92      1  39        1         0
#> 58    19.34      1  39        0         0
#> 108.1 18.29      1  39        0         1
#> 111   17.45      1  47        0         1
#> 6.1   15.64      1  39        0         0
#> 134.3 17.81      1  47        1         0
#> 70.2   7.38      1  30        1         0
#> 39    15.59      1  37        0         1
#> 185   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 176   24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 75    24.00      0  21        1         0
#> 84    24.00      0  39        0         1
#> 176.1 24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 21    24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 126   24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 64    24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 176.2 24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 191.1 24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 73.1  24.00      0  NA        0         1
#> 122   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 98    24.00      0  34        1         0
#> 34    24.00      0  36        0         0
#> 33    24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 118   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 87    24.00      0  27        0         0
#> 141.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 65    24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 64.1  24.00      0  43        0         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 64.2  24.00      0  43        0         0
#> 196.1 24.00      0  19        0         0
#> 35.1  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 28    24.00      0  67        1         0
#> 137   24.00      0  45        1         0
#> 173   24.00      0  19        0         1
#> 84.1  24.00      0  39        0         1
#> 1     24.00      0  23        1         0
#> 65.1  24.00      0  57        1         0
#> 118.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 21.1  24.00      0  47        0         0
#> 33.1  24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 11.1  24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 147   24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 148.1 24.00      0  61        1         0
#> 156.1 24.00      0  50        1         0
#> 102   24.00      0  49        0         0
#> 163   24.00      0  66        0         0
#> 65.2  24.00      0  57        1         0
#> 31.2  24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 151.1 24.00      0  42        0         0
#> 67    24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.308          NA        NA      NA
#> 2 age, Cure model         -0.00517        NA        NA      NA
#> 3 grade_ii, Cure model     0.133          NA        NA      NA
#> 4 grade_iii, Cure model    0.313          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0106        NA        NA      NA
#> 2 grade_ii, Survival model    0.768         NA        NA      NA
#> 3 grade_iii, Survival model   0.343         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.308320         -0.005171          0.133032          0.313465  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 259.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.308320484     -0.005171354      0.133031928      0.313464720 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01061897       0.76782630       0.34313123 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.354141947 0.791214064 0.707480860 0.405049507 0.046558672 0.258009709
#>   [7] 0.010970914 0.315229118 0.295690828 0.791214064 0.394584261 0.959188497
#>  [13] 0.099219941 0.615752477 0.515866137 0.666701249 0.854137119 0.002455084
#>  [19] 0.938365515 0.071501696 0.927773183 0.364239533 0.812094070 0.305386343
#>  [25] 0.676900191 0.625885174 0.156084626 0.165773569 0.315229118 0.456932511
#>  [31] 0.184929505 0.276556181 0.364239533 0.286120640 0.854137119 0.938365515
#>  [37] 0.258009709 0.738804080 0.203690520 0.364239533 0.315229118 0.175404217
#>  [43] 0.505731423 0.515866137 0.738804080 0.717894055 0.759753363 0.203690520
#>  [49] 0.089916598 0.822578116 0.565778158 0.585649862 0.656458309 0.545756707
#>  [55] 0.875188856 0.770250126 0.770250126 0.595634800 0.989692677 0.676900191
#>  [61] 0.230750987 0.117976937 0.136732881 0.875188856 0.221698691 0.230750987
#>  [67] 0.230750987 0.456932511 0.010970914 0.728326326 0.099219941 0.127334524
#>  [73] 0.415622094 0.080750917 0.843624604 0.595634800 0.676900191 0.038278231
#>  [79] 0.906789699 0.875188856 0.046558672 0.555817064 0.010970914 0.959188497
#>  [85] 0.030843936 0.456932511 0.002455084 0.436570656 0.146374341 0.046558672
#>  [91] 0.535719674 0.565778158 0.436570656 0.010970914 0.833083906 0.184929505
#>  [97] 0.906789699 0.344128110 0.415622094 0.495709820 0.625885174 0.456932511
#> [103] 0.959188497 0.646207887 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    97   140   133    88   164   128    78   170   166 140.1     8    70   113 
#> 19.14 12.68 14.65 18.37 23.60 20.35 23.88 19.54 19.98 12.68 18.43  7.38 22.86 
#>   125   106    18    10    24   149   129    16   179    37   105   180     6 
#> 15.65 16.67 15.21 10.53 23.89  8.37 23.41  8.71 18.63 12.52 19.75 14.82 15.64 
#>   197   139 170.1   134    99   150 179.1   158  10.1 149.1 128.1   155    32 
#> 21.60 21.49 19.54 17.81 21.19 20.33 18.63 20.14 10.53  8.37 20.35 13.08 20.90 
#> 179.2 170.2   153    30 106.1 155.1    57   123  32.1    92    42     5    79 
#> 18.63 19.54 21.33 17.43 16.67 13.08 14.46 13.00 20.90 22.92 12.43 16.43 16.23 
#>    29   181    93    14  14.1   100    77 180.1    68    63   175  93.1   190 
#> 15.45 16.46 10.33 12.89 12.89 16.07  7.27 14.82 20.62 22.77 21.91 10.33 20.81 
#>  68.1  68.2 134.1  78.1    81 113.1   194   108    69   107 100.1 180.2   168 
#> 20.62 20.62 17.81 23.88 14.06 22.86 22.40 18.29 23.23 11.18 16.07 14.82 23.72 
#>   187  93.2 164.1   192  78.2  70.1    86 134.2  24.1    40   136 164.2   171 
#>  9.92 10.33 23.60 16.44 23.88  7.38 23.81 17.81 23.89 18.00 21.83 23.60 16.57 
#>   5.1  40.1  78.3    43    36 187.1    58 108.1   111   6.1 134.3  70.2    39 
#> 16.43 18.00 23.88 12.10 21.19  9.92 19.34 18.29 17.45 15.64 17.81  7.38 15.59 
#>   185   144   176    82    75    84 176.1    44    21   146    20   126    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54    64   152   142    38   191   161   131 176.2   174 191.1   182   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193    94    98    34    33   196   141   148   118 193.1    35 182.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1   151    65   156   132   160    11  64.1    74   120  64.2 196.1  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    27   119    28   137   173  84.1     1  65.1 118.1   112   103  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1  31.1  11.1   109  28.1   147  62.1 148.1 156.1   102   163  65.2  31.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 151.1    67   138     2    12    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007116192               0.232734882               0.397192063 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.289461962            -0.007120419            -0.350298304 
#>   grade_iii, Cure model 
#>             1.120152473 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 105   19.75      1  60        0         0
#> 150   20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 42    12.43      1  49        0         1
#> 113   22.86      1  34        0         0
#> 61    10.12      1  36        0         1
#> 93    10.33      1  52        0         1
#> 52    10.42      1  52        0         1
#> 157   15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 180   14.82      1  37        0         0
#> 14    12.89      1  21        0         0
#> 57    14.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 129   23.41      1  53        1         0
#> 157.1 15.10      1  47        0         0
#> 149    8.37      1  33        1         0
#> 78    23.88      1  43        0         0
#> 51    18.23      1  83        0         1
#> 149.1  8.37      1  33        1         0
#> 13    14.34      1  54        0         1
#> 90    20.94      1  50        0         1
#> 166   19.98      1  48        0         0
#> 149.2  8.37      1  33        1         0
#> 92    22.92      1  47        0         1
#> 184   17.77      1  38        0         0
#> 52.1  10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 15    22.68      1  48        0         0
#> 111   17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 177   12.53      1  75        0         0
#> 164.1 23.60      1  76        0         1
#> 41    18.02      1  40        1         0
#> 97    19.14      1  65        0         1
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 41.1  18.02      1  40        1         0
#> 81    14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 179.1 18.63      1  42        0         0
#> 36    21.19      1  48        0         1
#> 24    23.89      1  38        0         0
#> 76    19.22      1  54        0         1
#> 180.1 14.82      1  37        0         0
#> 42.1  12.43      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 155.1 13.08      1  26        0         0
#> 50.1  10.02      1  NA        1         0
#> 179.2 18.63      1  42        0         0
#> 57.1  14.46      1  45        0         1
#> 93.1  10.33      1  52        0         1
#> 154   12.63      1  20        1         0
#> 170   19.54      1  43        0         1
#> 6     15.64      1  39        0         0
#> 50.2  10.02      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 61.1  10.12      1  36        0         1
#> 85    16.44      1  36        0         0
#> 175   21.91      1  43        0         0
#> 69.1  23.23      1  25        0         1
#> 113.1 22.86      1  34        0         0
#> 51.1  18.23      1  83        0         1
#> 43    12.10      1  61        0         1
#> 194   22.40      1  38        0         1
#> 133   14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 190   20.81      1  42        1         0
#> 15.1  22.68      1  48        0         0
#> 52.2  10.42      1  52        0         1
#> 177.1 12.53      1  75        0         0
#> 107   11.18      1  54        1         0
#> 56    12.21      1  60        0         0
#> 96    14.54      1  33        0         1
#> 188   16.16      1  46        0         1
#> 97.1  19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 49    12.19      1  48        1         0
#> 77.1   7.27      1  67        0         1
#> 180.2 14.82      1  37        0         0
#> 37    12.52      1  57        1         0
#> 108   18.29      1  39        0         1
#> 77.2   7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 180.3 14.82      1  37        0         0
#> 128   20.35      1  35        0         1
#> 113.2 22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 42.2  12.43      1  49        0         1
#> 169   22.41      1  46        0         0
#> 157.2 15.10      1  47        0         0
#> 153   21.33      1  55        1         0
#> 93.2  10.33      1  52        0         1
#> 4.1   17.64      1  NA        0         1
#> 199   19.81      1  NA        0         1
#> 113.3 22.86      1  34        0         0
#> 175.1 21.91      1  43        0         0
#> 124    9.73      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 129.2 23.41      1  53        1         0
#> 63    22.77      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 93.3  10.33      1  52        0         1
#> 111.2 17.45      1  47        0         1
#> 15.2  22.68      1  48        0         0
#> 138   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 163   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 142.1 24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 141   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 118   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 112   24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 115.1 24.00      0  NA        1         0
#> 172   24.00      0  41        0         0
#> 118.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 173   24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 163.2 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 185.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 120.2 24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 53    24.00      0  32        0         1
#> 62.1  24.00      0  71        0         0
#> 7.1   24.00      0  37        1         0
#> 72    24.00      0  40        0         1
#> 178   24.00      0  52        1         0
#> 182.1 24.00      0  35        0         0
#> 200.1 24.00      0  64        0         0
#> 64    24.00      0  43        0         0
#> 7.2   24.00      0  37        1         0
#> 62.2  24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 115.2 24.00      0  NA        1         0
#> 64.1  24.00      0  43        0         0
#> 196.1 24.00      0  19        0         0
#> 104   24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 103   24.00      0  56        1         0
#> 151   24.00      0  42        0         0
#> 152.1 24.00      0  36        0         1
#> 119.1 24.00      0  17        0         0
#> 62.3  24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 7.3   24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 116.1 24.00      0  58        0         1
#> 27.1  24.00      0  63        1         0
#> 7.4   24.00      0  37        1         0
#> 196.2 24.00      0  19        0         0
#> 84    24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 146.1 24.00      0  63        1         0
#> 103.1 24.00      0  56        1         0
#> 143.1 24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 135.1 24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 193.1 24.00      0  45        0         1
#> 115.3 24.00      0  NA        1         0
#> 151.1 24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.289          NA        NA      NA
#> 2 age, Cure model         -0.00712        NA        NA      NA
#> 3 grade_ii, Cure model    -0.350          NA        NA      NA
#> 4 grade_iii, Cure model    1.12           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00712        NA        NA      NA
#> 2 grade_ii, Survival model   0.233          NA        NA      NA
#> 3 grade_iii, Survival model  0.397          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.28946          -0.00712          -0.35030           1.12015  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    255.7 
#> Residual Deviance: 240.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.289461962     -0.007120419     -0.350298304      1.120152473 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007116192      0.232734882      0.397192063 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.264730307 0.245736791 0.026082086 0.726051095 0.088885122 0.894891821
#>   [7] 0.853007238 0.821354210 0.509941465 0.312695833 0.663030660 0.539944176
#>  [13] 0.673482543 0.601054996 0.341467241 0.041912496 0.509941465 0.937160819
#>  [19] 0.008951006 0.361295086 0.937160819 0.621583624 0.217618137 0.255182404
#>  [25] 0.937160819 0.080712638 0.410761309 0.821354210 0.450133368 0.128037359
#>  [31] 0.420816055 0.968541378 0.694416288 0.026082086 0.381003855 0.293668674
#>  [37] 0.810653238 0.916009358 0.642316682 0.065099657 0.381003855 0.631931878
#>  [43] 0.926582444 0.312695833 0.208225070 0.002413933 0.284036158 0.539944176
#>  [49] 0.726051095 0.642316682 0.312695833 0.601054996 0.853007238 0.683956992
#>  [55] 0.274399425 0.499909118 0.420816055 0.894891821 0.460108288 0.171410541
#>  [61] 0.065099657 0.088885122 0.361295086 0.778649383 0.162395170 0.580258604
#>  [67] 0.400764553 0.226994170 0.128037359 0.821354210 0.694416288 0.789305826
#>  [73] 0.757362277 0.590672931 0.470132327 0.293668674 0.480140937 0.017438429
#>  [79] 0.767998223 0.968541378 0.539944176 0.715437290 0.351398930 0.968541378
#>  [85] 0.189455562 0.539944176 0.236395109 0.088885122 0.799982540 0.726051095
#>  [91] 0.153311789 0.509941465 0.198807784 0.853007238 0.088885122 0.171410541
#>  [97] 0.041912496 0.041912496 0.119516551 0.480140937 0.853007238 0.420816055
#> [103] 0.128037359 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   105   150   164    42   113    61    93    52   157   179   123   180    14 
#> 19.75 20.33 23.60 12.43 22.86 10.12 10.33 10.42 15.10 18.63 13.00 14.82 12.89 
#>    57     8   129 157.1   149    78    51 149.1    13    90   166 149.2    92 
#> 14.46 18.43 23.41 15.10  8.37 23.88 18.23  8.37 14.34 20.94 19.98  8.37 22.92 
#>   184  52.1   181    15   111    77   177 164.1    41    97    10   101   155 
#> 17.77 10.42 16.46 22.68 17.45  7.27 12.53 23.60 18.02 19.14 10.53  9.97 13.08 
#>    69  41.1    81   187 179.1    36    24    76 180.1  42.1 155.1 179.2  57.1 
#> 23.23 18.02 14.06  9.92 18.63 21.19 23.89 19.22 14.82 12.43 13.08 18.63 14.46 
#>  93.1   154   170     6 111.1  61.1    85   175  69.1 113.1  51.1    43   194 
#> 10.33 12.63 19.54 15.64 17.45 10.12 16.44 21.91 23.23 22.86 18.23 12.10 22.40 
#>   133    40   190  15.1  52.2 177.1   107    56    96   188  97.1    26    86 
#> 14.65 18.00 20.81 22.68 10.42 12.53 11.18 12.21 14.54 16.16 19.14 15.77 23.81 
#>    49  77.1 180.2    37   108  77.2   197 180.3   128 113.2   159  42.2   169 
#> 12.19  7.27 14.82 12.52 18.29  7.27 21.60 14.82 20.35 22.86 10.55 12.43 22.41 
#> 157.2   153  93.2 113.3 175.1 129.1 129.2    63  26.1  93.3 111.2  15.2   138 
#> 15.10 21.33 10.33 22.86 21.91 23.41 23.41 22.77 15.77 10.33 17.45 22.68 24.00 
#>    35    80   196   163   193    27   185   142 142.1    17    75   143    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141    48   200   118   120    67     7   126   165   119 120.1   112   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172 118.1   146   173    44    46 163.1   156    65   152   176 163.2    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1   137 120.2   182    53  62.1   7.1    72   178 182.1 200.1    64   7.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2    87    54  64.1 196.1   104   122   135   103   151 152.1 119.1  62.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   7.3     2 116.1  27.1   7.4 196.2    84    11 146.1 103.1 143.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1   174 193.1 151.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01045353                0.85713482                0.11069606 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.09609759              0.01741399              0.44485621 
#>   grade_iii, Cure model 
#>              1.00551626 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 154   12.63      1  20        1         0
#> 171   16.57      1  41        0         1
#> 85    16.44      1  36        0         0
#> 167   15.55      1  56        1         0
#> 111   17.45      1  47        0         1
#> 130   16.47      1  53        0         1
#> 169   22.41      1  46        0         0
#> 5     16.43      1  51        0         1
#> 16     8.71      1  71        0         1
#> 79    16.23      1  54        1         0
#> 127    3.53      1  62        0         1
#> 66    22.13      1  53        0         0
#> 125   15.65      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 52    10.42      1  52        0         1
#> 76    19.22      1  54        0         1
#> 171.1 16.57      1  41        0         1
#> 168   23.72      1  70        0         0
#> 29    15.45      1  68        1         0
#> 86.1  23.81      1  58        0         1
#> 127.1  3.53      1  62        0         1
#> 81    14.06      1  34        0         0
#> 107   11.18      1  54        1         0
#> 136   21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 171.2 16.57      1  41        0         1
#> 164   23.60      1  76        0         1
#> 181   16.46      1  45        0         1
#> 15    22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 49    12.19      1  48        1         0
#> 57    14.46      1  45        0         1
#> 25     6.32      1  34        1         0
#> 101    9.97      1  10        0         1
#> 136.1 21.83      1  43        0         1
#> 5.1   16.43      1  51        0         1
#> 129   23.41      1  53        1         0
#> 14    12.89      1  21        0         0
#> 18    15.21      1  49        1         0
#> 153   21.33      1  55        1         0
#> 92    22.92      1  47        0         1
#> 15.1  22.68      1  48        0         0
#> 61    10.12      1  36        0         1
#> 51    18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 90    20.94      1  50        0         1
#> 197   21.60      1  69        1         0
#> 140   12.68      1  59        1         0
#> 192   16.44      1  31        1         0
#> 157   15.10      1  47        0         0
#> 23    16.92      1  61        0         0
#> 59    10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 24    23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 154.1 12.63      1  20        1         0
#> 79.1  16.23      1  54        1         0
#> 153.1 21.33      1  55        1         0
#> 79.2  16.23      1  54        1         0
#> 99    21.19      1  38        0         1
#> 96    14.54      1  33        0         1
#> 26    15.77      1  49        0         1
#> 29.1  15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 108.1 18.29      1  39        0         1
#> 170   19.54      1  43        0         1
#> 92.1  22.92      1  47        0         1
#> 136.2 21.83      1  43        0         1
#> 14.1  12.89      1  21        0         0
#> 97    19.14      1  65        0         1
#> 167.1 15.55      1  56        1         0
#> 69    23.23      1  25        0         1
#> 180   14.82      1  37        0         0
#> 123   13.00      1  44        1         0
#> 50.1  10.02      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 36    21.19      1  48        0         1
#> 51.1  18.23      1  83        0         1
#> 107.2 11.18      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 158   20.14      1  74        1         0
#> 167.2 15.55      1  56        1         0
#> 166.1 19.98      1  48        0         0
#> 58.1  19.34      1  39        0         0
#> 42    12.43      1  49        0         1
#> 23.1  16.92      1  61        0         0
#> 194.1 22.40      1  38        0         1
#> 123.1 13.00      1  44        1         0
#> 168.1 23.72      1  70        0         0
#> 56    12.21      1  60        0         0
#> 77     7.27      1  67        0         1
#> 140.1 12.68      1  59        1         0
#> 157.1 15.10      1  47        0         0
#> 179.1 18.63      1  42        0         0
#> 194.2 22.40      1  38        0         1
#> 66.1  22.13      1  53        0         0
#> 40    18.00      1  28        1         0
#> 167.3 15.55      1  56        1         0
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 125.2 15.65      1  67        1         0
#> 145   10.07      1  65        1         0
#> 124.1  9.73      1  NA        1         0
#> 83    24.00      0   6        0         0
#> 22    24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 20    24.00      0  46        1         0
#> 112   24.00      0  61        0         0
#> 163   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 87    24.00      0  27        0         0
#> 151   24.00      0  42        0         0
#> 54    24.00      0  53        1         0
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 172.1 24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 9     24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 72    24.00      0  40        0         1
#> 54.1  24.00      0  53        1         0
#> 163.1 24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 144   24.00      0  28        0         1
#> 3.1   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 28    24.00      0  67        1         0
#> 83.1  24.00      0   6        0         0
#> 28.1  24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 7     24.00      0  37        1         0
#> 94.1  24.00      0  51        0         1
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 137   24.00      0  45        1         0
#> 83.2  24.00      0   6        0         0
#> 46    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 62    24.00      0  71        0         0
#> 64.2  24.00      0  43        0         0
#> 84.1  24.00      0  39        0         1
#> 31.1  24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 102   24.00      0  49        0         0
#> 75.1  24.00      0  21        1         0
#> 112.1 24.00      0  61        0         0
#> 172.2 24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 84.2  24.00      0  39        0         1
#> 142.1 24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 173   24.00      0  19        0         1
#> 21    24.00      0  47        0         0
#> 82.1  24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 48    24.00      0  31        1         0
#> 163.2 24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 62.2  24.00      0  71        0         0
#> 116   24.00      0  58        0         1
#> 53    24.00      0  32        0         1
#> 165.1 24.00      0  47        0         0
#> 7.1   24.00      0  37        1         0
#> 74    24.00      0  43        0         1
#> 147.1 24.00      0  76        1         0
#> 75.2  24.00      0  21        1         0
#> 142.2 24.00      0  53        0         0
#> 198.1 24.00      0  66        0         1
#> 104.1 24.00      0  50        1         0
#> 151.1 24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 38.2  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.10          NA        NA      NA
#> 2 age, Cure model           0.0174        NA        NA      NA
#> 3 grade_ii, Cure model      0.445         NA        NA      NA
#> 4 grade_iii, Cure model     1.01          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0105        NA        NA      NA
#> 2 grade_ii, Survival model    0.857         NA        NA      NA
#> 3 grade_iii, Survival model   0.111         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.09610           0.01741           0.44486           1.00552  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 251.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.09609759       0.01741399       0.44485621       1.00551626 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01045353       0.85713482       0.11069606 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0036128471 0.8012671743 0.4116265658 0.4665546308 0.5872078870
#>   [6] 0.3795569782 0.4440831650 0.0767046368 0.4886316193 0.9374235451
#>  [11] 0.5110578365 0.9791576894 0.1068284036 0.5547546159 0.3690449608
#>  [16] 0.8849864939 0.2657189142 0.4116265658 0.0104059165 0.6291216780
#>  [21] 0.0036128471 0.9791576894 0.7148099338 0.8540087564 0.1233939332
#>  [26] 0.9479077886 0.4116265658 0.0209777384 0.4552770064 0.0626140852
#>  [31] 0.3161974901 0.8434233106 0.7039195389 0.9687728830 0.9164972768
#>  [36] 0.1233939332 0.4886316193 0.0282561018 0.7582156093 0.6503266425
#>  [41] 0.1577532717 0.0418059384 0.0626140852 0.8954788151 0.3369474890
#>  [46] 0.3058245623 0.1917465653 0.1488214189 0.7798220951 0.4665546308
#>  [51] 0.6609451050 0.3901619865 0.2096301323 0.7257501881 0.8540087564
#>  [56] 0.0008161083 0.0843906361 0.2465929591 0.8012671743 0.5110578365
#>  [61] 0.1577532717 0.5110578365 0.1745124407 0.6930798131 0.5436060614
#>  [66] 0.6291216780 0.2856220392 0.3161974901 0.2370891186 0.0418059384
#>  [71] 0.1233939332 0.7582156093 0.2755925304 0.5872078870 0.0349373863
#>  [76] 0.6822753820 0.7367298344 0.0557727383 0.1745124407 0.3369474890
#>  [81] 0.8540087564 0.5547546159 0.2007056749 0.5872078870 0.2096301323
#>  [86] 0.2465929591 0.8222014291 0.3901619865 0.0843906361 0.7367298344
#>  [91] 0.0104059165 0.8327808734 0.9583150374 0.7798220951 0.6609451050
#>  [96] 0.2856220392 0.0843906361 0.1068284036 0.3583990328 0.5872078870
#> [101] 0.2276935482 0.9269939170 0.5547546159 0.9059998949 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    86   154   171    85   167   111   130   169     5    16    79   127    66 
#> 23.81 12.63 16.57 16.44 15.55 17.45 16.47 22.41 16.43  8.71 16.23  3.53 22.13 
#>   125   134    52    76 171.1   168    29  86.1 127.1    81   107   136   149 
#> 15.65 17.81 10.42 19.22 16.57 23.72 15.45 23.81  3.53 14.06 11.18 21.83  8.37 
#> 171.2   164   181    15   108    49    57    25   101 136.1   5.1   129    14 
#> 16.57 23.60 16.46 22.68 18.29 12.19 14.46  6.32  9.97 21.83 16.43 23.41 12.89 
#>    18   153    92  15.1    61    51     8    90   197   140   192   157    23 
#> 15.21 21.33 22.92 22.68 10.12 18.23 18.43 20.94 21.60 12.68 16.44 15.10 16.92 
#>   166   155 107.1    24   194    58 154.1  79.1 153.1  79.2    99    96    26 
#> 19.98 13.08 11.18 23.89 22.40 19.34 12.63 16.23 21.33 16.23 21.19 14.54 15.77 
#>  29.1   179 108.1   170  92.1 136.2  14.1    97 167.1    69   180   123    63 
#> 15.45 18.63 18.29 19.54 22.92 21.83 12.89 19.14 15.55 23.23 14.82 13.00 22.77 
#>    36  51.1 107.2 125.1   158 167.2 166.1  58.1    42  23.1 194.1 123.1 168.1 
#> 21.19 18.23 11.18 15.65 20.14 15.55 19.98 19.34 12.43 16.92 22.40 13.00 23.72 
#>    56    77 140.1 157.1 179.1 194.2  66.1    40 167.3   105   187 125.2   145 
#> 12.21  7.27 12.68 15.10 18.63 22.40 22.13 18.00 15.55 19.75  9.92 15.65 10.07 
#>    83    22    64   182    20   112   163   172   103    87   151    54   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165     3   142    38   156 172.1    94     9  20.1    72  54.1 163.1  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   144   3.1  64.1   132    28  83.1  28.1    65    31 182.1     1     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    17    82   137  83.2    46   152    35    84    62  64.2  84.1  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   198   102  75.1 112.1 172.2 152.1   104   109  84.2 142.1   146   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21  82.1    48 163.2   147  62.1  62.2   116    53 165.1   7.1    74 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.2 142.2 198.1 104.1 151.1   162    95  38.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01457699                0.44917991                0.31675248 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.507791619             0.005049525             0.464790062 
#>   grade_iii, Cure model 
#>             0.851085257 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 30    17.43      1  78        0         0
#> 125   15.65      1  67        1         0
#> 114   13.68      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 184   17.77      1  38        0         0
#> 140   12.68      1  59        1         0
#> 42    12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 86    23.81      1  58        0         1
#> 110   17.56      1  65        0         1
#> 60    13.15      1  38        1         0
#> 150   20.33      1  48        0         0
#> 158   20.14      1  74        1         0
#> 26    15.77      1  49        0         1
#> 60.1  13.15      1  38        1         0
#> 36    21.19      1  48        0         1
#> 153   21.33      1  55        1         0
#> 129   23.41      1  53        1         0
#> 90    20.94      1  50        0         1
#> 50    10.02      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 105   19.75      1  60        0         0
#> 68    20.62      1  44        0         0
#> 86.1  23.81      1  58        0         1
#> 124    9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 153.1 21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 97    19.14      1  65        0         1
#> 91     5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 32    20.90      1  37        1         0
#> 166   19.98      1  48        0         0
#> 40    18.00      1  28        1         0
#> 10    10.53      1  34        0         0
#> 81    14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 108.1 18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 190   20.81      1  42        1         0
#> 150.1 20.33      1  48        0         0
#> 88    18.37      1  47        0         0
#> 175   21.91      1  43        0         0
#> 42.1  12.43      1  49        0         1
#> 188   16.16      1  46        0         1
#> 41    18.02      1  40        1         0
#> 49    12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 16.1   8.71      1  71        0         1
#> 134   17.81      1  47        1         0
#> 117   17.46      1  26        0         1
#> 192   16.44      1  31        1         0
#> 106   16.67      1  49        1         0
#> 18    15.21      1  49        1         0
#> 158.1 20.14      1  74        1         0
#> 18.1  15.21      1  49        1         0
#> 26.1  15.77      1  49        0         1
#> 164.1 23.60      1  76        0         1
#> 57    14.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 139.1 21.49      1  63        1         0
#> 129.1 23.41      1  53        1         0
#> 85    16.44      1  36        0         0
#> 60.2  13.15      1  38        1         0
#> 134.1 17.81      1  47        1         0
#> 140.1 12.68      1  59        1         0
#> 41.1  18.02      1  40        1         0
#> 136   21.83      1  43        0         1
#> 145   10.07      1  65        1         0
#> 51    18.23      1  83        0         1
#> 184.1 17.77      1  38        0         0
#> 192.1 16.44      1  31        1         0
#> 41.2  18.02      1  40        1         0
#> 70     7.38      1  30        1         0
#> 169   22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 157   15.10      1  47        0         0
#> 105.1 19.75      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 108.2 18.29      1  39        0         1
#> 25     6.32      1  34        1         0
#> 167   15.55      1  56        1         0
#> 184.2 17.77      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 177   12.53      1  75        0         0
#> 114.1 13.68      1  NA        0         0
#> 167.1 15.55      1  56        1         0
#> 77.1   7.27      1  67        0         1
#> 97.1  19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 41.3  18.02      1  40        1         0
#> 166.1 19.98      1  48        0         0
#> 145.1 10.07      1  65        1         0
#> 66    22.13      1  53        0         0
#> 5.1   16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 86.2  23.81      1  58        0         1
#> 181.1 16.46      1  45        0         1
#> 5.2   16.43      1  51        0         1
#> 171   16.57      1  41        0         1
#> 97.2  19.14      1  65        0         1
#> 60.3  13.15      1  38        1         0
#> 60.4  13.15      1  38        1         0
#> 59    10.16      1  NA        1         0
#> 5.3   16.43      1  51        0         1
#> 76.1  19.22      1  54        0         1
#> 99    21.19      1  38        0         1
#> 68.1  20.62      1  44        0         0
#> 190.1 20.81      1  42        1         0
#> 112   24.00      0  61        0         0
#> 122   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 132   24.00      0  55        0         0
#> 71.1  24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 94    24.00      0  51        0         1
#> 31    24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 38    24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 160.1 24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 83    24.00      0   6        0         0
#> 118   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 148   24.00      0  61        1         0
#> 103   24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 115.1 24.00      0  NA        1         0
#> 174   24.00      0  49        1         0
#> 7     24.00      0  37        1         0
#> 178   24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 191   24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 95.1  24.00      0  68        0         1
#> 138.1 24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 172   24.00      0  41        0         0
#> 131.1 24.00      0  66        0         0
#> 138.2 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 151   24.00      0  42        0         0
#> 48    24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 176   24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 137.1 24.00      0  45        1         0
#> 112.1 24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 116.1 24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 27.1  24.00      0  63        1         0
#> 148.1 24.00      0  61        1         0
#> 46    24.00      0  71        0         0
#> 122.1 24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 144.1 24.00      0  28        0         1
#> 163.1 24.00      0  66        0         0
#> 102.1 24.00      0  49        0         0
#> 138.3 24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 38.1  24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 38.2  24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 28.1  24.00      0  67        1         0
#> 47    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 120.1 24.00      0  68        0         1
#> 95.2  24.00      0  68        0         1
#> 151.2 24.00      0  42        0         0
#> 191.1 24.00      0  60        0         1
#> 173.2 24.00      0  19        0         1
#> 94.2  24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 191.2 24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.508          NA        NA      NA
#> 2 age, Cure model          0.00505        NA        NA      NA
#> 3 grade_ii, Cure model     0.465          NA        NA      NA
#> 4 grade_iii, Cure model    0.851          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0146        NA        NA      NA
#> 2 grade_ii, Survival model    0.449         NA        NA      NA
#> 3 grade_iii, Survival model   0.317         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.50779           0.00505           0.46479           0.85109  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 257.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.507791619      0.005049525      0.464790062      0.851085257 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01457699       0.44917991       0.31675248 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3790493750 0.5462443537 0.0354281914 0.3274229882 0.7296614020
#>   [6] 0.7681548037 0.0063758905 0.0017717944 0.3578519679 0.6682966284
#>  [11] 0.1029973297 0.1163672032 0.5228747501 0.6682966284 0.0557118806
#>  [16] 0.0452292063 0.0117989270 0.0667489373 0.2036712355 0.1454408250
#>  [21] 0.0904483212 0.0017717944 0.6431317517 0.9437075740 0.0452292063
#>  [26] 0.9022109509 0.1778467091 0.9858047129 0.2222439986 0.0726902667
#>  [31] 0.1304964398 0.2976696928 0.8477138798 0.6556670064 0.4665075757
#>  [36] 0.2222439986 0.0003109641 0.0786740173 0.1029973297 0.2128571442
#>  [41] 0.0261067347 0.7681548037 0.5112291470 0.2598201496 0.8074987424
#>  [46] 0.4117032880 0.8208197996 0.9022109509 0.3076060915 0.3684414614
#>  [51] 0.4336568935 0.3898628418 0.5820546826 0.1163672032 0.5820546826
#>  [56] 0.5228747501 0.0063758905 0.6184840748 0.8342357571 0.0354281914
#>  [61] 0.0117989270 0.4336568935 0.6682966284 0.3076060915 0.7296614020
#>  [66] 0.2598201496 0.0306725984 0.8612762761 0.2499849574 0.3274229882
#>  [71] 0.4336568935 0.2598201496 0.9298077298 0.0180623007 0.8885216417
#>  [76] 0.6061775242 0.1454408250 0.6184840748 0.2222439986 0.9716979642
#>  [81] 0.5581625303 0.3274229882 0.7942262090 0.7551526157 0.5581625303
#>  [86] 0.9437075740 0.1778467091 0.1613381370 0.2598201496 0.1304964398
#>  [91] 0.8612762761 0.0218856083 0.4665075757 0.0017717944 0.4117032880
#>  [96] 0.4665075757 0.4007466207 0.1778467091 0.6682966284 0.6682966284
#> [101] 0.4665075757 0.1613381370 0.0557118806 0.0904483212 0.0786740173
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>    30   125   139   184   140    42   164    86   110    60   150   158    26 
#> 17.43 15.65 21.49 17.77 12.68 12.43 23.60 23.81 17.56 13.15 20.33 20.14 15.77 
#>  60.1    36   153   129    90   179   105    68  86.1    13    77 153.1    16 
#> 13.15 21.19 21.33 23.41 20.94 18.63 19.75 20.62 23.81 14.34  7.27 21.33  8.71 
#>    97    91   108    32   166    40    10    81     5 108.1    24   190 150.1 
#> 19.14  5.33 18.29 20.90 19.98 18.00 10.53 14.06 16.43 18.29 23.89 20.81 20.33 
#>    88   175  42.1   188    41    49   181    43  16.1   134   117   192   106 
#> 18.37 21.91 12.43 16.16 18.02 12.19 16.46 12.10  8.71 17.81 17.46 16.44 16.67 
#>    18 158.1  18.1  26.1 164.1    57   107 139.1 129.1    85  60.2 134.1 140.1 
#> 15.21 20.14 15.21 15.77 23.60 14.46 11.18 21.49 23.41 16.44 13.15 17.81 12.68 
#>  41.1   136   145    51 184.1 192.1  41.2    70   169   101   157 105.1  57.1 
#> 18.02 21.83 10.07 18.23 17.77 16.44 18.02  7.38 22.41  9.97 15.10 19.75 14.46 
#> 108.2    25   167 184.2    56   177 167.1  77.1  97.1    76  41.3 166.1 145.1 
#> 18.29  6.32 15.55 17.77 12.21 12.53 15.55  7.27 19.14 19.22 18.02 19.98 10.07 
#>    66   5.1  86.2 181.1   5.2   171  97.2  60.3  60.4   5.3  76.1    99  68.1 
#> 22.13 16.43 23.81 16.46 16.43 16.57 19.14 13.15 13.15 16.43 19.22 21.19 20.62 
#> 190.1   112   122    71   116   132  71.1    82    94    31    27    38   160 
#> 20.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 160.1   200   173   147    83   118   137   162  94.1    28   138    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   103   156    19    44   174     7   178   102   191   131    20  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1   163   144   172 131.1 138.2    84   151    48  98.1   176   165    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 112.1    54 116.1 178.1    33     3 103.1  27.1 148.1    46 122.1  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1 163.1 102.1 138.3    87  38.1 173.1  38.2    62 151.1  28.1    47   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67 120.1  95.2 151.2 191.1 173.2  94.2    35 191.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0004026051              0.2652998320              0.1835936430 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.485819878             0.008288109            -0.032669018 
#>   grade_iii, Cure model 
#>             0.898928101 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 195   11.76      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 192   16.44      1  31        1         0
#> 88    18.37      1  47        0         0
#> 60    13.15      1  38        1         0
#> 159   10.55      1  50        0         1
#> 10    10.53      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 184   17.77      1  38        0         0
#> 88.1  18.37      1  47        0         0
#> 56    12.21      1  60        0         0
#> 99    21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 140   12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 68    20.62      1  44        0         0
#> 197   21.60      1  69        1         0
#> 25     6.32      1  34        1         0
#> 125   15.65      1  67        1         0
#> 51    18.23      1  83        0         1
#> 59    10.16      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 92    22.92      1  47        0         1
#> 166   19.98      1  48        0         0
#> 107   11.18      1  54        1         0
#> 16     8.71      1  71        0         1
#> 125.1 15.65      1  67        1         0
#> 88.2  18.37      1  47        0         0
#> 13    14.34      1  54        0         1
#> 55    19.34      1  69        0         1
#> 125.2 15.65      1  67        1         0
#> 110   17.56      1  65        0         1
#> 90    20.94      1  50        0         1
#> 10.1  10.53      1  34        0         0
#> 114.1 13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 159.1 10.55      1  50        0         1
#> 30    17.43      1  78        0         0
#> 99.1  21.19      1  38        0         1
#> 183    9.24      1  67        1         0
#> 56.1  12.21      1  60        0         0
#> 96    14.54      1  33        0         1
#> 66    22.13      1  53        0         0
#> 177   12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 117   17.46      1  26        0         1
#> 145   10.07      1  65        1         0
#> 4     17.64      1  NA        0         1
#> 88.3  18.37      1  47        0         0
#> 51.1  18.23      1  83        0         1
#> 77     7.27      1  67        0         1
#> 90.1  20.94      1  50        0         1
#> 86    23.81      1  58        0         1
#> 168   23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 55.1  19.34      1  69        0         1
#> 167.1 15.55      1  56        1         0
#> 10.2  10.53      1  34        0         0
#> 139   21.49      1  63        1         0
#> 8     18.43      1  32        0         0
#> 179   18.63      1  42        0         0
#> 43    12.10      1  61        0         1
#> 57    14.46      1  45        0         1
#> 45.1  17.42      1  54        0         1
#> 136   21.83      1  43        0         1
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 68.1  20.62      1  44        0         0
#> 155   13.08      1  26        0         0
#> 159.2 10.55      1  50        0         1
#> 184.2 17.77      1  38        0         0
#> 4.1   17.64      1  NA        0         1
#> 190.1 20.81      1  42        1         0
#> 5     16.43      1  51        0         1
#> 14    12.89      1  21        0         0
#> 15    22.68      1  48        0         0
#> 4.2   17.64      1  NA        0         1
#> 30.1  17.43      1  78        0         0
#> 111   17.45      1  47        0         1
#> 110.1 17.56      1  65        0         1
#> 30.2  17.43      1  78        0         0
#> 68.2  20.62      1  44        0         0
#> 93    10.33      1  52        0         1
#> 36    21.19      1  48        0         1
#> 153.1 21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 130   16.47      1  53        0         1
#> 49    12.19      1  48        1         0
#> 197.1 21.60      1  69        1         0
#> 171   16.57      1  41        0         1
#> 114.2 13.68      1  NA        0         0
#> 167.2 15.55      1  56        1         0
#> 99.2  21.19      1  38        0         1
#> 92.1  22.92      1  47        0         1
#> 91     5.33      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 139.1 21.49      1  63        1         0
#> 140.1 12.68      1  59        1         0
#> 14.1  12.89      1  21        0         0
#> 66.1  22.13      1  53        0         0
#> 13.1  14.34      1  54        0         1
#> 91.1   5.33      1  61        0         1
#> 117.1 17.46      1  26        0         1
#> 139.2 21.49      1  63        1         0
#> 91.2   5.33      1  61        0         1
#> 190.2 20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 40    18.00      1  28        1         0
#> 24    23.89      1  38        0         0
#> 99.3  21.19      1  38        0         1
#> 131   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 156.1 24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 71.1  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 22.1  24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 17.1  24.00      0  38        0         1
#> 47    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 103   24.00      0  56        1         0
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 1.1   24.00      0  23        1         0
#> 118   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 148   24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 131.1 24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 161.1 24.00      0  45        0         0
#> 200   24.00      0  64        0         0
#> 71.2  24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 1.2   24.00      0  23        1         0
#> 165   24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 94    24.00      0  51        0         1
#> 2     24.00      0   9        0         0
#> 22.2  24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 47.1  24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 165.1 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 95.1  24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 142.1 24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 147   24.00      0  76        1         0
#> 143.1 24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 126   24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 122.1 24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 172   24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 102   24.00      0  49        0         0
#> 121.1 24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 198   24.00      0  66        0         1
#> 35.1  24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 31    24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 200.1 24.00      0  64        0         0
#> 120.1 24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 156.2 24.00      0  50        1         0
#> 22.3  24.00      0  52        1         0
#> 17.2  24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 132.1 24.00      0  55        0         0
#> 34.1  24.00      0  36        0         0
#> 160.1 24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 116.2 24.00      0  58        0         1
#> 178.1 24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.486          NA        NA      NA
#> 2 age, Cure model          0.00829        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0327         NA        NA      NA
#> 4 grade_iii, Cure model    0.899          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000403        NA        NA      NA
#> 2 grade_ii, Survival model   0.265           NA        NA      NA
#> 3 grade_iii, Survival model  0.184           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.485820          0.008288         -0.032669          0.898928  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 252.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.485819878      0.008288109     -0.032669018      0.898928101 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0004026051     0.2652998320     0.1835936430 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.186450331 0.592556762 0.388386959 0.734922542 0.847642175 0.873138706
#>   [7] 0.690986178 0.453908093 0.388386959 0.804377707 0.207726573 0.555741782
#>  [13] 0.769799695 0.664675377 0.302970864 0.131038320 0.958208396 0.638075452
#>  [19] 0.425555780 0.453908093 0.055431720 0.331293841 0.839010106 0.932791807
#>  [25] 0.638075452 0.388386959 0.717481901 0.341022918 0.638075452 0.481784146
#>  [31] 0.254925271 0.873138706 0.610866736 0.274696192 0.847642175 0.528253539
#>  [37] 0.207726573 0.924287773 0.804377707 0.699838499 0.093139171 0.787083046
#>  [43] 0.941282862 0.500428443 0.907214929 0.388386959 0.425555780 0.949752022
#>  [49] 0.254925271 0.025342601 0.040275658 0.991616861 0.341022918 0.664675377
#>  [55] 0.873138706 0.154496639 0.378760000 0.369136185 0.830353476 0.708670080
#>  [61] 0.555741782 0.118086091 0.620012659 0.620012659 0.302970864 0.743665581
#>  [67] 0.847642175 0.453908093 0.274696192 0.601724082 0.752409692 0.079800363
#>  [73] 0.528253539 0.518942458 0.481784146 0.528253539 0.302970864 0.898645416
#>  [79] 0.207726573 0.186450331 0.341022918 0.583348467 0.821681262 0.131038320
#>  [85] 0.574114498 0.664675377 0.207726573 0.055431720 0.966643474 0.787083046
#>  [91] 0.154496639 0.769799695 0.752409692 0.093139171 0.717481901 0.966643474
#>  [97] 0.500428443 0.154496639 0.966643474 0.274696192 0.915762630 0.444428302
#> [103] 0.009180395 0.207726573 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   153   192    88    60   159    10    18   184  88.1    56    99    45   140 
#> 21.33 16.44 18.37 13.15 10.55 10.53 15.21 17.77 18.37 12.21 21.19 17.42 12.68 
#>   167    68   197    25   125    51 184.1    92   166   107    16 125.1  88.2 
#> 15.55 20.62 21.60  6.32 15.65 18.23 17.77 22.92 19.98 11.18  8.71 15.65 18.37 
#>    13    55 125.2   110    90  10.1   100   190 159.1    30  99.1   183  56.1 
#> 14.34 19.34 15.65 17.56 20.94 10.53 16.07 20.81 10.55 17.43 21.19  9.24 12.21 
#>    96    66   177   149   117   145  88.3  51.1    77  90.1    86   168   127 
#> 14.54 22.13 12.53  8.37 17.46 10.07 18.37 18.23  7.27 20.94 23.81 23.72  3.53 
#>  55.1 167.1  10.2   139     8   179    43    57  45.1   136    26  26.1  68.1 
#> 19.34 15.55 10.53 21.49 18.43 18.63 12.10 14.46 17.42 21.83 15.77 15.77 20.62 
#>   155 159.2 184.2 190.1     5    14    15  30.1   111 110.1  30.2  68.2    93 
#> 13.08 10.55 17.77 20.81 16.43 12.89 22.68 17.43 17.45 17.56 17.43 20.62 10.33 
#>    36 153.1    58   130    49 197.1   171 167.2  99.2  92.1    91 177.1 139.1 
#> 21.19 21.33 19.34 16.47 12.19 21.60 16.57 15.55 21.19 22.92  5.33 12.53 21.49 
#> 140.1  14.1  66.1  13.1  91.1 117.1 139.2  91.2 190.2   187    40    24  99.3 
#> 12.68 12.89 22.13 14.34  5.33 17.46 21.49  5.33 20.81  9.92 18.00 23.89 21.19 
#>   131   156    17   161 156.1    71    22  71.1    62   104   146  22.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1  17.1    47   141   132   103    75   142   174   1.1   118   148    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1 131.1 161.1   200  71.2    19   1.2   165    95    94     2  22.2   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   138   121   116  47.1    34 165.1   191  95.1   143    28 142.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 143.1 174.1    87   126   120 122.1 147.1   172    64   102 121.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   198  35.1    83    31 141.1 102.1 200.1 120.1   160   112 156.2  22.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2    67 132.1  34.1 160.1 116.1 116.2 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01079619                0.31977637                0.43803346 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.47464945             -0.01068671             -0.14455562 
#>   grade_iii, Cure model 
#>              1.16124680 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 130   16.47      1  53        0         1
#> 37    12.52      1  57        1         0
#> 52    10.42      1  52        0         1
#> 70     7.38      1  30        1         0
#> 150   20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 130.1 16.47      1  53        0         1
#> 78    23.88      1  43        0         0
#> 140   12.68      1  59        1         0
#> 180   14.82      1  37        0         0
#> 140.1 12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 164   23.60      1  76        0         1
#> 107   11.18      1  54        1         0
#> 175   21.91      1  43        0         0
#> 153   21.33      1  55        1         0
#> 69    23.23      1  25        0         1
#> 23    16.92      1  61        0         0
#> 184   17.77      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 97    19.14      1  65        0         1
#> 166   19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 45    17.42      1  54        0         1
#> 16     8.71      1  71        0         1
#> 134   17.81      1  47        1         0
#> 43    12.10      1  61        0         1
#> 155.1 13.08      1  26        0         0
#> 85    16.44      1  36        0         0
#> 32    20.90      1  37        1         0
#> 5     16.43      1  51        0         1
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 128   20.35      1  35        0         1
#> 15    22.68      1  48        0         0
#> 26    15.77      1  49        0         1
#> 150.1 20.33      1  48        0         0
#> 170   19.54      1  43        0         1
#> 96.1  14.54      1  33        0         1
#> 70.1   7.38      1  30        1         0
#> 63    22.77      1  31        1         0
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 56    12.21      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 106.1 16.67      1  49        1         0
#> 14    12.89      1  21        0         0
#> 30    17.43      1  78        0         0
#> 10    10.53      1  34        0         0
#> 190   20.81      1  42        1         0
#> 26.1  15.77      1  49        0         1
#> 91     5.33      1  61        0         1
#> 155.2 13.08      1  26        0         0
#> 134.1 17.81      1  47        1         0
#> 10.1  10.53      1  34        0         0
#> 179   18.63      1  42        0         0
#> 180.1 14.82      1  37        0         0
#> 15.1  22.68      1  48        0         0
#> 29    15.45      1  68        1         0
#> 79    16.23      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 23.1  16.92      1  61        0         0
#> 85.1  16.44      1  36        0         0
#> 43.1  12.10      1  61        0         1
#> 157   15.10      1  47        0         0
#> 26.2  15.77      1  49        0         1
#> 180.2 14.82      1  37        0         0
#> 111   17.45      1  47        0         1
#> 96.2  14.54      1  33        0         1
#> 88    18.37      1  47        0         0
#> 78.1  23.88      1  43        0         0
#> 187    9.92      1  39        1         0
#> 128.1 20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 124    9.73      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 6     15.64      1  39        0         0
#> 180.3 14.82      1  37        0         0
#> 153.1 21.33      1  55        1         0
#> 41    18.02      1  40        1         0
#> 130.2 16.47      1  53        0         1
#> 106.2 16.67      1  49        1         0
#> 58    19.34      1  39        0         0
#> 4     17.64      1  NA        0         1
#> 85.2  16.44      1  36        0         0
#> 171   16.57      1  41        0         1
#> 101    9.97      1  10        0         1
#> 30.1  17.43      1  78        0         0
#> 168.1 23.72      1  70        0         0
#> 195   11.76      1  NA        1         0
#> 78.2  23.88      1  43        0         0
#> 195.1 11.76      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 134.2 17.81      1  47        1         0
#> 14.1  12.89      1  21        0         0
#> 194   22.40      1  38        0         1
#> 77     7.27      1  67        0         1
#> 117   17.46      1  26        0         1
#> 101.1  9.97      1  10        0         1
#> 105   19.75      1  60        0         0
#> 129   23.41      1  53        1         0
#> 43.2  12.10      1  61        0         1
#> 18    15.21      1  49        1         0
#> 70.2   7.38      1  30        1         0
#> 153.2 21.33      1  55        1         0
#> 15.2  22.68      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 76    19.22      1  54        0         1
#> 88.1  18.37      1  47        0         0
#> 171.1 16.57      1  41        0         1
#> 186   24.00      0  45        1         0
#> 174   24.00      0  49        1         0
#> 28    24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 120   24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 141   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 152   24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 163   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 178.1 24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 178.2 24.00      0  52        1         0
#> 142.2 24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 7.1   24.00      0  37        1         0
#> 200.2 24.00      0  64        0         0
#> 65    24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 146   24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 104.1 24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 19    24.00      0  57        0         1
#> 151.2 24.00      0  42        0         0
#> 141.1 24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 112.1 24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 151.3 24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 47    24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 142.3 24.00      0  53        0         0
#> 7.3   24.00      0  37        1         0
#> 46.1  24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 2.2   24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 200.3 24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 47.1  24.00      0  38        0         1
#> 54.2  24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 185.1 24.00      0  44        1         0
#> 196.1 24.00      0  19        0         0
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 185.2 24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 132.1 24.00      0  55        0         0
#> 152.1 24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 65.1  24.00      0  57        1         0
#> 104.2 24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 35.1  24.00      0  51        0         0
#> 35.2  24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 172   24.00      0  41        0         0
#> 121.1 24.00      0  57        1         0
#> 163.1 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.475         NA        NA      NA
#> 2 age, Cure model          -0.0107        NA        NA      NA
#> 3 grade_ii, Cure model     -0.145         NA        NA      NA
#> 4 grade_iii, Cure model     1.16          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0108        NA        NA      NA
#> 2 grade_ii, Survival model    0.320         NA        NA      NA
#> 3 grade_iii, Survival model   0.438         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.47465          -0.01069          -0.14456           1.16125  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 252.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.47464945      -0.01068671      -0.14455562       1.16124680 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01079619       0.31977637       0.43803346 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.430306188 0.784438057 0.879762217 0.939937675 0.150178758 0.009026577
#>   [7] 0.430306188 0.001839281 0.749275762 0.612913013 0.749275762 0.018321835
#>  [13] 0.843622369 0.075404615 0.090087305 0.030772508 0.358979993 0.290743993
#>  [19] 0.657896063 0.217513477 0.166060166 0.691781321 0.348968884 0.927852800
#>  [25] 0.263158338 0.808148141 0.691781321 0.461074576 0.111859874 0.492519254
#>  [31] 0.772670448 0.300352089 0.134949521 0.043142254 0.524948229 0.150178758
#>  [37] 0.191228718 0.657896063 0.939937675 0.036948519 0.379261262 0.082632902
#>  [43] 0.796251021 0.557145784 0.379261262 0.726077995 0.329308895 0.855656438
#>  [49] 0.127051089 0.524948229 0.987852214 0.691781321 0.263158338 0.855656438
#>  [55] 0.226436289 0.612913013 0.043142254 0.579255817 0.503257017 0.358979993
#>  [61] 0.461074576 0.808148141 0.601624836 0.524948229 0.612913013 0.319660689
#>  [67] 0.657896063 0.235489181 0.001839281 0.915811837 0.134949521 0.514048072
#>  [73] 0.166060166 0.568163840 0.612913013 0.090087305 0.253796743 0.430306188
#>  [79] 0.379261262 0.199886312 0.461074576 0.409728977 0.891918286 0.329308895
#>  [85] 0.009026577 0.001839281 0.111859874 0.263158338 0.726077995 0.062091644
#>  [91] 0.975733923 0.310031986 0.891918286 0.182581313 0.024366502 0.808148141
#>  [97] 0.590420324 0.939937675 0.090087305 0.043142254 0.062091644 0.208674755
#> [103] 0.235489181 0.409728977 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   130    37    52    70   150   168 130.1    78   140   180 140.1   164   107 
#> 16.47 12.52 10.42  7.38 20.33 23.72 16.47 23.88 12.68 14.82 12.68 23.60 11.18 
#>   175   153    69    23   184    96    97   166   155    45    16   134    43 
#> 21.91 21.33 23.23 16.92 17.77 14.54 19.14 19.98 13.08 17.42  8.71 17.81 12.10 
#> 155.1    85    32     5   154   110   128    15    26 150.1   170  96.1  70.1 
#> 13.08 16.44 20.90 16.43 12.63 17.56 20.35 22.68 15.77 20.33 19.54 14.54  7.38 
#>    63   106   197    56   125 106.1    14    30    10   190  26.1    91 155.2 
#> 22.77 16.67 21.60 12.21 15.65 16.67 12.89 17.43 10.53 20.81 15.77  5.33 13.08 
#> 134.1  10.1   179 180.1  15.1    29    79  23.1  85.1  43.1   157  26.2 180.2 
#> 17.81 10.53 18.63 14.82 22.68 15.45 16.23 16.92 16.44 12.10 15.10 15.77 14.82 
#>   111  96.2    88  78.1   187 128.1   100 166.1     6 180.3 153.1    41 130.2 
#> 17.45 14.54 18.37 23.88  9.92 20.35 16.07 19.98 15.64 14.82 21.33 18.02 16.47 
#> 106.2    58  85.2   171   101  30.1 168.1  78.2  32.1 134.2  14.1   194    77 
#> 16.67 19.34 16.44 16.57  9.97 17.43 23.72 23.88 20.90 17.81 12.89 22.40  7.27 
#>   117 101.1   105   129  43.2    18  70.2 153.2  15.2 194.1    76  88.1 171.1 
#> 17.46  9.97 19.75 23.41 12.10 15.21  7.38 21.33 22.68 22.40 19.22 18.37 16.57 
#>   186   174    28    67   200   120   151   141   112   162 200.1   196   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    54   131   163     2   143   104   142 142.1    95    71   178  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   132 178.1   121 178.2 142.2 131.1    94   7.1 200.2    65    87   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    72    27 104.1   118 151.1    19 151.2 141.1   7.2 112.1   185 151.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46    47 186.1 142.3   7.3  46.1   2.1   2.2   156   147 200.3   165   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1  54.2   137 185.1 196.1    48     1 185.2  28.1    11 132.1 152.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1  65.1 104.2    12  35.1  35.2    82   172 121.1 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004643256               0.493759546               0.507734176 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.03554477              0.01396553              0.52091469 
#>   grade_iii, Cure model 
#>              1.46991817 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 125   15.65      1  67        1         0
#> 145   10.07      1  65        1         0
#> 100   16.07      1  60        0         0
#> 23    16.92      1  61        0         0
#> 36    21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 100.1 16.07      1  60        0         0
#> 129   23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 99    21.19      1  38        0         1
#> 108   18.29      1  39        0         1
#> 171   16.57      1  41        0         1
#> 180   14.82      1  37        0         0
#> 66    22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 111   17.45      1  47        0         1
#> 58    19.34      1  39        0         0
#> 170   19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 13    14.34      1  54        0         1
#> 136   21.83      1  43        0         1
#> 123   13.00      1  44        1         0
#> 26    15.77      1  49        0         1
#> 169   22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 139   21.49      1  63        1         0
#> 179.1 18.63      1  42        0         0
#> 13.1  14.34      1  54        0         1
#> 69    23.23      1  25        0         1
#> 41    18.02      1  40        1         0
#> 78    23.88      1  43        0         0
#> 175   21.91      1  43        0         0
#> 51.1  18.23      1  83        0         1
#> 187    9.92      1  39        1         0
#> 58.1  19.34      1  39        0         0
#> 91     5.33      1  61        0         1
#> 61    10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 14    12.89      1  21        0         0
#> 154   12.63      1  20        1         0
#> 24    23.89      1  38        0         0
#> 130   16.47      1  53        0         1
#> 159.1 10.55      1  50        0         1
#> 86    23.81      1  58        0         1
#> 15    22.68      1  48        0         0
#> 130.1 16.47      1  53        0         1
#> 111.1 17.45      1  47        0         1
#> 129.1 23.41      1  53        1         0
#> 4     17.64      1  NA        0         1
#> 125.1 15.65      1  67        1         0
#> 134   17.81      1  47        1         0
#> 195   11.76      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 192   16.44      1  31        1         0
#> 37    12.52      1  57        1         0
#> 41.1  18.02      1  40        1         0
#> 37.1  12.52      1  57        1         0
#> 26.1  15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 179.2 18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 5     16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 37.2  12.52      1  57        1         0
#> 158.1 20.14      1  74        1         0
#> 14.1  12.89      1  21        0         0
#> 57    14.46      1  45        0         1
#> 58.2  19.34      1  39        0         0
#> 36.1  21.19      1  48        0         1
#> 177   12.53      1  75        0         0
#> 69.1  23.23      1  25        0         1
#> 166   19.98      1  48        0         0
#> 101    9.97      1  10        0         1
#> 63.1  22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 51.2  18.23      1  83        0         1
#> 25     6.32      1  34        1         0
#> 78.1  23.88      1  43        0         0
#> 52.1  10.42      1  52        0         1
#> 123.1 13.00      1  44        1         0
#> 187.1  9.92      1  39        1         0
#> 36.2  21.19      1  48        0         1
#> 179.3 18.63      1  42        0         0
#> 130.2 16.47      1  53        0         1
#> 70     7.38      1  30        1         0
#> 91.1   5.33      1  61        0         1
#> 97.1  19.14      1  65        0         1
#> 96    14.54      1  33        0         1
#> 85    16.44      1  36        0         0
#> 125.2 15.65      1  67        1         0
#> 18.1  15.21      1  49        1         0
#> 153   21.33      1  55        1         0
#> 101.1  9.97      1  10        0         1
#> 15.1  22.68      1  48        0         0
#> 187.2  9.92      1  39        1         0
#> 117.1 17.46      1  26        0         1
#> 77.1   7.27      1  67        0         1
#> 150   20.33      1  48        0         0
#> 42    12.43      1  49        0         1
#> 23.1  16.92      1  61        0         0
#> 61.1  10.12      1  36        0         1
#> 90    20.94      1  50        0         1
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 71    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 120   24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 196   24.00      0  19        0         0
#> 75    24.00      0  21        1         0
#> 53    24.00      0  32        0         1
#> 151.1 24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 185   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 47    24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 80    24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 141.1 24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 172   24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 33    24.00      0  53        0         0
#> 54.1  24.00      0  53        1         0
#> 196.2 24.00      0  19        0         0
#> 11    24.00      0  42        0         1
#> 115   24.00      0  NA        1         0
#> 64    24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 116   24.00      0  58        0         1
#> 109   24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 142   24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 126   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 87    24.00      0  27        0         0
#> 72.1  24.00      0  40        0         1
#> 163   24.00      0  66        0         0
#> 3.1   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 67.2  24.00      0  25        0         0
#> 126.1 24.00      0  48        0         0
#> 44.1  24.00      0  56        0         0
#> 84.1  24.00      0  39        0         1
#> 163.1 24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 62    24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 161.1 24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 44.2  24.00      0  56        0         0
#> 12.1  24.00      0  63        0         0
#> 172.1 24.00      0  41        0         0
#> 82.1  24.00      0  34        0         0
#> 3.2   24.00      0  31        1         0
#> 151.2 24.00      0  42        0         0
#> 103.1 24.00      0  56        1         0
#> 151.3 24.00      0  42        0         0
#> 118.1 24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 104   24.00      0  50        1         0
#> 172.2 24.00      0  41        0         0
#> 172.3 24.00      0  41        0         0
#> 38    24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 161.2 24.00      0  45        0         0
#> 173   24.00      0  19        0         1
#> 120.1 24.00      0  68        0         1
#> 65.1  24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 53.1  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.04          NA        NA      NA
#> 2 age, Cure model           0.0140        NA        NA      NA
#> 3 grade_ii, Cure model      0.521         NA        NA      NA
#> 4 grade_iii, Cure model     1.47          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00464        NA        NA      NA
#> 2 grade_ii, Survival model   0.494          NA        NA      NA
#> 3 grade_iii, Survival model  0.508          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.03554           0.01397           0.52091           1.46992  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 248.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.03554477       0.01396553       0.52091469       1.46991817 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004643256      0.493759546      0.507734176 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.52101343 0.91016890 0.76048935 0.93207391 0.73401408 0.67171240
#>   [7] 0.38679121 0.43736404 0.73401408 0.16866206 0.53821394 0.38679121
#>  [13] 0.58013276 0.68605988 0.80450446 0.32300680 0.81070031 0.58852955
#>  [19] 0.79214270 0.65726389 0.49433816 0.48518171 0.45726167 0.82911033
#>  [25] 0.34978448 0.84104816 0.74737901 0.29518168 0.96399737 0.36261174
#>  [31] 0.53821394 0.82911033 0.20599926 0.61193758 0.08190534 0.33645447
#>  [37] 0.58852955 0.94821774 0.49433816 0.98989033 0.92118416 0.89900294
#>  [43] 0.85281730 0.86456983 0.03542148 0.69319577 0.89900294 0.14199321
#>  [49] 0.26711395 0.69319577 0.65726389 0.16866206 0.76048935 0.62726155
#>  [55] 0.97447454 0.71367948 0.87628233 0.61193758 0.87628233 0.74737901
#>  [61] 0.77946583 0.53821394 0.63487379 0.72726123 0.57161374 0.78583302
#>  [67] 0.23829373 0.87628233 0.45726167 0.85281730 0.82301988 0.49433816
#>  [73] 0.38679121 0.87043429 0.20599926 0.47584399 0.93749616 0.23829373
#>  [79] 0.64246846 0.30940120 0.58852955 0.98475919 0.08190534 0.91016890
#>  [85] 0.84104816 0.94821774 0.38679121 0.53821394 0.69319577 0.96924846
#>  [91] 0.98989033 0.52101343 0.81688185 0.71367948 0.76048935 0.79214270
#>  [97] 0.37491874 0.93749616 0.26711395 0.94821774 0.64246846 0.97447454
#> [103] 0.44734047 0.89332500 0.67171240 0.92118416 0.42716554 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    97    52   125   145   100    23    36   128 100.1   129   179    99   108 
#> 19.14 10.42 15.65 10.07 16.07 16.92 21.19 20.35 16.07 23.41 18.63 21.19 18.29 
#>   171   180    66   133    51    18   111    58   170   158    13   136   123 
#> 16.57 14.82 22.13 14.65 18.23 15.21 17.45 19.34 19.54 20.14 14.34 21.83 13.00 
#>    26   169    16   139 179.1  13.1    69    41    78   175  51.1   187  58.1 
#> 15.77 22.41  8.71 21.49 18.63 14.34 23.23 18.02 23.88 21.91 18.23  9.92 19.34 
#>    91    61   159    14   154    24   130 159.1    86    15 130.1 111.1 129.1 
#>  5.33 10.12 10.55 12.89 12.63 23.89 16.47 10.55 23.81 22.68 16.47 17.45 23.41 
#> 125.1   134    77   192    37  41.1  37.1  26.1     6 179.2   184     5     8 
#> 15.65 17.81  7.27 16.44 12.52 18.02 12.52 15.77 15.64 18.63 17.77 16.43 18.43 
#>   167    63  37.2 158.1  14.1    57  58.2  36.1   177  69.1   166   101  63.1 
#> 15.55 22.77 12.52 20.14 12.89 14.46 19.34 21.19 12.53 23.23 19.98  9.97 22.77 
#>   117   194  51.2    25  78.1  52.1 123.1 187.1  36.2 179.3 130.2    70  91.1 
#> 17.46 22.40 18.23  6.32 23.88 10.42 13.00  9.92 21.19 18.63 16.47  7.38  5.33 
#>  97.1    96    85 125.2  18.1   153 101.1  15.1 187.2 117.1  77.1   150    42 
#> 19.14 14.54 16.44 15.65 15.21 21.33  9.97 22.68  9.92 17.46  7.27 20.33 12.43 
#>  23.1  61.1    90    35   151    71    54   120   122    67   196    75    53 
#> 16.92 10.12 20.94 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1    74     3 196.1    17    44   185    84    47   160  67.1   137   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    80   191 141.1   161   172    27    33  54.1 196.2    11    64   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   116   109   148   142   103   126    72    87  72.1   163   3.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    48  67.2 126.1  44.1  84.1 163.1 185.1    82    62   112    46   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165 161.1   156  44.2  12.1 172.1  82.1   3.2 151.2 103.1 151.3 118.1  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104 172.2 172.3    38   178    20 161.2   173 120.1  65.1   200  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003534422               0.665967321               0.219113026 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.51803492              0.02071342              0.50258689 
#>   grade_iii, Cure model 
#>              1.91321851 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 192   16.44      1  31        1         0
#> 164   23.60      1  76        0         1
#> 26    15.77      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 180   14.82      1  37        0         0
#> 106   16.67      1  49        1         0
#> 171   16.57      1  41        0         1
#> 128   20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 16     8.71      1  71        0         1
#> 90    20.94      1  50        0         1
#> 51    18.23      1  83        0         1
#> 177   12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 188   16.16      1  46        0         1
#> 15    22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 164.1 23.60      1  76        0         1
#> 6     15.64      1  39        0         0
#> 18    15.21      1  49        1         0
#> 197   21.60      1  69        1         0
#> 130   16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 36    21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 114.1 13.68      1  NA        0         0
#> 10    10.53      1  34        0         0
#> 29    15.45      1  68        1         0
#> 60    13.15      1  38        1         0
#> 70     7.38      1  30        1         0
#> 177.1 12.53      1  75        0         0
#> 117   17.46      1  26        0         1
#> 140   12.68      1  59        1         0
#> 90.1  20.94      1  50        0         1
#> 100   16.07      1  60        0         0
#> 157   15.10      1  47        0         0
#> 117.1 17.46      1  26        0         1
#> 106.1 16.67      1  49        1         0
#> 37    12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 49    12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 45    17.42      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 145   10.07      1  65        1         0
#> 6.1   15.64      1  39        0         0
#> 164.2 23.60      1  76        0         1
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 77.1   7.27      1  67        0         1
#> 110   17.56      1  65        0         1
#> 91     5.33      1  61        0         1
#> 108   18.29      1  39        0         1
#> 149    8.37      1  33        1         0
#> 78    23.88      1  43        0         0
#> 124.1  9.73      1  NA        1         0
#> 42.1  12.43      1  49        0         1
#> 42.2  12.43      1  49        0         1
#> 153.1 21.33      1  55        1         0
#> 100.1 16.07      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 90.2  20.94      1  50        0         1
#> 133   14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 29.1  15.45      1  68        1         0
#> 40    18.00      1  28        1         0
#> 108.1 18.29      1  39        0         1
#> 188.1 16.16      1  46        0         1
#> 92    22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 56    12.21      1  60        0         0
#> 61    10.12      1  36        0         1
#> 97    19.14      1  65        0         1
#> 40.1  18.00      1  28        1         0
#> 145.1 10.07      1  65        1         0
#> 42.3  12.43      1  49        0         1
#> 128.1 20.35      1  35        0         1
#> 127    3.53      1  62        0         1
#> 99    21.19      1  38        0         1
#> 145.2 10.07      1  65        1         0
#> 8.1   18.43      1  32        0         0
#> 106.2 16.67      1  49        1         0
#> 58    19.34      1  39        0         0
#> 4     17.64      1  NA        0         1
#> 192.1 16.44      1  31        1         0
#> 29.2  15.45      1  68        1         0
#> 23    16.92      1  61        0         0
#> 69    23.23      1  25        0         1
#> 179   18.63      1  42        0         0
#> 51.1  18.23      1  83        0         1
#> 88    18.37      1  47        0         0
#> 45.1  17.42      1  54        0         1
#> 168   23.72      1  70        0         0
#> 91.1   5.33      1  61        0         1
#> 32    20.90      1  37        1         0
#> 170   19.54      1  43        0         1
#> 58.1  19.34      1  39        0         0
#> 145.3 10.07      1  65        1         0
#> 15.1  22.68      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 30.1  17.43      1  78        0         0
#> 90.3  20.94      1  50        0         1
#> 190.1 20.81      1  42        1         0
#> 110.1 17.56      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 192.2 16.44      1  31        1         0
#> 5     16.43      1  51        0         1
#> 29.3  15.45      1  68        1         0
#> 96.1  14.54      1  33        0         1
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 46    24.00      0  71        0         0
#> 144   24.00      0  28        0         1
#> 44    24.00      0  56        0         0
#> 152   24.00      0  36        0         1
#> 44.1  24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 126.1 24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 87    24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 83    24.00      0   6        0         0
#> 98.1  24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 165.1 24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 98.2  24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 54    24.00      0  53        1         0
#> 35    24.00      0  51        0         0
#> 44.2  24.00      0  56        0         0
#> 2     24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 7.1   24.00      0  37        1         0
#> 112.1 24.00      0  61        0         0
#> 27    24.00      0  63        1         0
#> 112.2 24.00      0  61        0         0
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 142.1 24.00      0  53        0         0
#> 46.1  24.00      0  71        0         0
#> 160.1 24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 152.1 24.00      0  36        0         1
#> 35.1  24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 160.2 24.00      0  31        1         0
#> 112.3 24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 160.3 24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 12.2  24.00      0  63        0         0
#> 151   24.00      0  42        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 3.1   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 46.2  24.00      0  71        0         0
#> 28.1  24.00      0  67        1         0
#> 142.2 24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 120   24.00      0  68        0         1
#> 160.4 24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 156.1 24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 35.2  24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 1.1   24.00      0  23        1         0
#> 132   24.00      0  55        0         0
#> 1.2   24.00      0  23        1         0
#> 126.2 24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.52          NA        NA      NA
#> 2 age, Cure model           0.0207        NA        NA      NA
#> 3 grade_ii, Cure model      0.503         NA        NA      NA
#> 4 grade_iii, Cure model     1.91          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00353        NA        NA      NA
#> 2 grade_ii, Survival model   0.666          NA        NA      NA
#> 3 grade_iii, Survival model  0.219          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.51803           0.02071           0.50259           1.91322  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 237.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.51803492       0.02071342       0.50258689       1.91321851 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003534422      0.665967321      0.219113026 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.559500158 0.032489916 0.630256887 0.845178661 0.717331290 0.513596421
#>   [7] 0.540966373 0.262839291 0.960024123 0.927755109 0.192802055 0.389657015
#>  [13] 0.769069144 0.853596165 0.594798943 0.087822738 0.149640866 0.032489916
#>  [19] 0.648011403 0.700029324 0.137262009 0.550235784 0.919582383 0.171314135
#>  [25] 0.111505124 0.911358807 0.862010077 0.665828805 0.751929185 0.952003993
#>  [31] 0.769069144 0.447139809 0.760527169 0.192802055 0.612478869 0.708672225
#>  [37] 0.447139809 0.513596421 0.786146071 0.124269084 0.836709861 0.794676339
#>  [43] 0.484981454 0.243495041 0.878848686 0.648011403 0.032489916 0.465968035
#>  [49] 0.734694029 0.960024123 0.428203543 0.976002051 0.370108394 0.935930093
#>  [55] 0.005512245 0.794676339 0.794676339 0.149640866 0.612478869 0.935930093
#>  [61] 0.192802055 0.726003188 0.340609278 0.665828805 0.409276258 0.370108394
#>  [67] 0.594798943 0.075627671 0.311123785 0.828185615 0.870433299 0.320936695
#>  [73] 0.409276258 0.878848686 0.794676339 0.262839291 0.991979064 0.171314135
#>  [79] 0.878848686 0.340609278 0.513596421 0.291790324 0.559500158 0.665828805
#>  [85] 0.503973633 0.063329290 0.330752800 0.389657015 0.360156512 0.484981454
#>  [91] 0.017656589 0.976002051 0.233049145 0.282042753 0.291790324 0.878848686
#>  [97] 0.087822738 0.465968035 0.192802055 0.243495041 0.428203543 0.630256887
#> [103] 0.559500158 0.585876775 0.665828805 0.734694029 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   192   164    26   107   180   106   171   128    77    16    90    51   177 
#> 16.44 23.60 15.77 11.18 14.82 16.67 16.57 20.35  7.27  8.71 20.94 18.23 12.53 
#>   159   188    15   153 164.1     6    18   197   130   187    36   169   101 
#> 10.55 16.16 22.68 21.33 23.60 15.64 15.21 21.60 16.47  9.92 21.19 22.41  9.97 
#>    10    29    60    70 177.1   117   140  90.1   100   157 117.1 106.1    37 
#> 10.53 15.45 13.15  7.38 12.53 17.46 12.68 20.94 16.07 15.10 17.46 16.67 12.52 
#>    66    49    42    45   190   145   6.1 164.2    30    96  77.1   110    91 
#> 22.13 12.19 12.43 17.42 20.81 10.07 15.64 23.60 17.43 14.54  7.27 17.56  5.33 
#>   108   149    78  42.1  42.2 153.1 100.1 149.1  90.2   133     8  29.1    40 
#> 18.29  8.37 23.88 12.43 12.43 21.33 16.07  8.37 20.94 14.65 18.43 15.45 18.00 
#> 108.1 188.1    92    76    56    61    97  40.1 145.1  42.3 128.1   127    99 
#> 18.29 16.16 22.92 19.22 12.21 10.12 19.14 18.00 10.07 12.43 20.35  3.53 21.19 
#> 145.2   8.1 106.2    58 192.1  29.2    23    69   179  51.1    88  45.1   168 
#> 10.07 18.43 16.67 19.34 16.44 15.45 16.92 23.23 18.63 18.23 18.37 17.42 23.72 
#>  91.1    32   170  58.1 145.3  15.1  30.1  90.3 190.1 110.1  26.1 192.2     5 
#>  5.33 20.90 19.54 19.34 10.07 22.68 17.43 20.94 20.81 17.56 15.77 16.44 16.43 
#>  29.3  96.1   104    11    48   126    19   112   119    46   144    44   152 
#> 15.45 14.54 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1   165 126.1   173   182     7    87   160   116    98    83  98.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1   142  98.2   186    28    74  12.1    54    35  44.2     2   135   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1    27 112.2   163    62   191 142.1  46.1 160.1   161 152.1  35.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.2 112.3   103   172    71    22 160.3     3 103.1  12.2   151    65  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1   109   156   118  46.2  28.1 142.2    84   120 160.4    67     1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   178  35.2    17   1.1   132   1.2 126.2 163.1   143    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007902316               0.752264671               0.541141177 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.51491285              0.01553086             -0.34835080 
#>   grade_iii, Cure model 
#>              0.48267907 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 188   16.16      1  46        0         1
#> 125   15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 130   16.47      1  53        0         1
#> 39    15.59      1  37        0         1
#> 125.1 15.65      1  67        1         0
#> 6     15.64      1  39        0         0
#> 30    17.43      1  78        0         0
#> 129   23.41      1  53        1         0
#> 96    14.54      1  33        0         1
#> 180   14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 127    3.53      1  62        0         1
#> 150   20.33      1  48        0         0
#> 171   16.57      1  41        0         1
#> 32    20.90      1  37        1         0
#> 145   10.07      1  65        1         0
#> 25     6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 179   18.63      1  42        0         0
#> 60    13.15      1  38        1         0
#> 107   11.18      1  54        1         0
#> 78.1  23.88      1  43        0         0
#> 107.1 11.18      1  54        1         0
#> 39.1  15.59      1  37        0         1
#> 96.1  14.54      1  33        0         1
#> 5     16.43      1  51        0         1
#> 183    9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 107.2 11.18      1  54        1         0
#> 70     7.38      1  30        1         0
#> 76    19.22      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 37    12.52      1  57        1         0
#> 107.3 11.18      1  54        1         0
#> 24    23.89      1  38        0         0
#> 128   20.35      1  35        0         1
#> 133   14.65      1  57        0         0
#> 61    10.12      1  36        0         1
#> 10    10.53      1  34        0         0
#> 100   16.07      1  60        0         0
#> 187    9.92      1  39        1         0
#> 92    22.92      1  47        0         1
#> 90    20.94      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 190   20.81      1  42        1         0
#> 5.1   16.43      1  51        0         1
#> 97    19.14      1  65        0         1
#> 105   19.75      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 177   12.53      1  75        0         0
#> 97.1  19.14      1  65        0         1
#> 15    22.68      1  48        0         0
#> 129.1 23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 24.1  23.89      1  38        0         0
#> 58    19.34      1  39        0         0
#> 192   16.44      1  31        1         0
#> 15.1  22.68      1  48        0         0
#> 49    12.19      1  48        1         0
#> 25.1   6.32      1  34        1         0
#> 58.1  19.34      1  39        0         0
#> 39.2  15.59      1  37        0         1
#> 60.2  13.15      1  38        1         0
#> 177.1 12.53      1  75        0         0
#> 10.1  10.53      1  34        0         0
#> 166   19.98      1  48        0         0
#> 139   21.49      1  63        1         0
#> 199   19.81      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 36.1  21.19      1  48        0         1
#> 177.2 12.53      1  75        0         0
#> 88    18.37      1  47        0         0
#> 179.1 18.63      1  42        0         0
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 105.1 19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 139.1 21.49      1  63        1         0
#> 140.1 12.68      1  59        1         0
#> 106   16.67      1  49        1         0
#> 129.2 23.41      1  53        1         0
#> 89.1  11.44      1  NA        0         0
#> 25.2   6.32      1  34        1         0
#> 130.1 16.47      1  53        0         1
#> 90.1  20.94      1  50        0         1
#> 14.1  12.89      1  21        0         0
#> 110.1 17.56      1  65        0         1
#> 110.2 17.56      1  65        0         1
#> 127.1  3.53      1  62        0         1
#> 194   22.40      1  38        0         1
#> 77     7.27      1  67        0         1
#> 166.1 19.98      1  48        0         0
#> 111   17.45      1  47        0         1
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 134   17.81      1  47        1         0
#> 188.1 16.16      1  46        0         1
#> 76.1  19.22      1  54        0         1
#> 49.1  12.19      1  48        1         0
#> 45    17.42      1  54        0         1
#> 180.1 14.82      1  37        0         0
#> 81    14.06      1  34        0         0
#> 25.3   6.32      1  34        1         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 113   22.86      1  34        0         0
#> 101    9.97      1  10        0         1
#> 156   24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 27    24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 144   24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 119   24.00      0  17        0         0
#> 7     24.00      0  37        1         0
#> 84    24.00      0  39        0         1
#> 196   24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 22    24.00      0  52        1         0
#> 46    24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 196.1 24.00      0  19        0         0
#> 82    24.00      0  34        0         0
#> 138   24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 163   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 137.1 24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 137.2 24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 144.2 24.00      0  28        0         1
#> 118.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 46.1  24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 82.1  24.00      0  34        0         0
#> 131   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 98    24.00      0  34        1         0
#> 109   24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 53    24.00      0  32        0         1
#> 137.3 24.00      0  45        1         0
#> 3.1   24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 82.2  24.00      0  34        0         0
#> 71.1  24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 9.2   24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 53.1  24.00      0  32        0         1
#> 131.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 19.1  24.00      0  57        0         1
#> 103   24.00      0  56        1         0
#> 34    24.00      0  36        0         0
#> 11.1  24.00      0  42        0         1
#> 31    24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 103.1 24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 9.3   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 102.1 24.00      0  49        0         0
#> 174.2 24.00      0  49        1         0
#> 67.1  24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 198.1 24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 132.1 24.00      0  55        0         0
#> 174.3 24.00      0  49        1         0
#> 135.1 24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 126.1 24.00      0  48        0         0
#> 53.2  24.00      0  32        0         1
#> 38.1  24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 198.2 24.00      0  66        0         1
#> 118.2 24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.515         NA        NA      NA
#> 2 age, Cure model           0.0155        NA        NA      NA
#> 3 grade_ii, Cure model     -0.348         NA        NA      NA
#> 4 grade_iii, Cure model     0.483         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00790        NA        NA      NA
#> 2 grade_ii, Survival model   0.752          NA        NA      NA
#> 3 grade_iii, Survival model  0.541          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.51491           0.01553          -0.34835           0.48268  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.51491285       0.01553086      -0.34835080       0.48267907 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007902316      0.752264671      0.541141177 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.537251089 0.565761672 0.157403334 0.479305000 0.594196836 0.565761672
#>   [7] 0.584639306 0.439408247 0.057521882 0.650427508 0.622037664 0.878331215
#>  [13] 0.982985144 0.223897347 0.469423376 0.195921889 0.896265406 0.949219528
#>  [19] 0.021679410 0.339627038 0.697356336 0.825191658 0.021679410 0.825191658
#>  [25] 0.594196836 0.650427508 0.518209784 0.922903952 0.724694815 0.825191658
#>  [31] 0.931713317 0.300412342 0.697356336 0.379790859 0.797872618 0.825191658
#>  [37] 0.005618784 0.214727154 0.640883174 0.887311568 0.860437015 0.556162188
#>  [43] 0.914073552 0.085066176 0.176826296 0.389920395 0.205436881 0.518209784
#>  [49] 0.320036237 0.261215724 0.223897347 0.770470142 0.320036237 0.105675914
#>  [55] 0.057521882 0.005618784 0.280632341 0.508546990 0.105675914 0.807075834
#>  [61] 0.949219528 0.280632341 0.594196836 0.697356336 0.770470142 0.860437015
#>  [67] 0.242329559 0.137553881 0.743108309 0.157403334 0.770470142 0.359542534
#>  [73] 0.339627038 0.669199200 0.669199200 0.261215724 0.419464973 0.137553881
#>  [79] 0.743108309 0.459491053 0.057521882 0.949219528 0.479305000 0.176826296
#>  [85] 0.724694815 0.389920395 0.389920395 0.982985144 0.126777706 0.940466901
#>  [91] 0.242329559 0.429458019 0.498761341 0.761371978 0.369730933 0.537251089
#>  [97] 0.300412342 0.807075834 0.449463241 0.622037664 0.687907317 0.949219528
#> [103] 0.043156051 0.095239298 0.905195203 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   188   125    36   130    39 125.1     6    30   129    96   180    52   127 
#> 16.16 15.65 21.19 16.47 15.59 15.65 15.64 17.43 23.41 14.54 14.82 10.42  3.53 
#>   150   171    32   145    25    78   179    60   107  78.1 107.1  39.1  96.1 
#> 20.33 16.57 20.90 10.07  6.32 23.88 18.63 13.15 11.18 23.88 11.18 15.59 14.54 
#>     5   183    14 107.2    70    76  60.1   184    37 107.3    24   128   133 
#> 16.43  9.24 12.89 11.18  7.38 19.22 13.15 17.77 12.52 11.18 23.89 20.35 14.65 
#>    61    10   100   187    92    90   110   190   5.1    97   105 150.1   177 
#> 10.12 10.53 16.07  9.92 22.92 20.94 17.56 20.81 16.43 19.14 19.75 20.33 12.53 
#>  97.1    15 129.1  24.1    58   192  15.1    49  25.1  58.1  39.2  60.2 177.1 
#> 19.14 22.68 23.41 23.89 19.34 16.44 22.68 12.19  6.32 19.34 15.59 13.15 12.53 
#>  10.1   166   139   140  36.1 177.2    88 179.1    13  13.1 105.1   117 139.1 
#> 10.53 19.98 21.49 12.68 21.19 12.53 18.37 18.63 14.34 14.34 19.75 17.46 21.49 
#> 140.1   106 129.2  25.2 130.1  90.1  14.1 110.1 110.2 127.1   194    77 166.1 
#> 12.68 16.67 23.41  6.32 16.47 20.94 12.89 17.56 17.56  3.53 22.40  7.27 19.98 
#>   111   181   154   134 188.1  76.1  49.1    45 180.1    81  25.3   168   113 
#> 17.45 16.46 12.63 17.81 16.16 19.22 12.19 17.42 14.82 14.06  6.32 23.72 22.86 
#>   101   156   132    27   122   137   102   144   151   119     7    84   196 
#>  9.97 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    22    46     3   118 196.1    82   138 144.1   147   163   116   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    19 137.1  27.1 137.2    20 144.2 118.1   186   9.1   152    71  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126  82.1   131   135    98   109   148    53 137.3   3.1   198  82.2  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   9.2 174.1  53.1 131.1    11  19.1   103    34  11.1    31   178 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38     2   9.3    67 102.1 174.2  67.1   200 198.1    47 132.1 174.3 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1 126.1  53.2  38.1   3.2 178.1 198.2 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009803105               0.371987704               0.115743082 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.282046733             0.006825786             0.106189533 
#>   grade_iii, Cure model 
#>             0.466637588 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 60    13.15      1  38        1         0
#> 36    21.19      1  48        0         1
#> 57    14.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 6     15.64      1  39        0         0
#> 68    20.62      1  44        0         0
#> 76    19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 129   23.41      1  53        1         0
#> 133   14.65      1  57        0         0
#> 183    9.24      1  67        1         0
#> 90    20.94      1  50        0         1
#> 129.1 23.41      1  53        1         0
#> 55    19.34      1  69        0         1
#> 14    12.89      1  21        0         0
#> 199.1 19.81      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 6.1   15.64      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 164   23.60      1  76        0         1
#> 177   12.53      1  75        0         0
#> 93    10.33      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 39    15.59      1  37        0         1
#> 69    23.23      1  25        0         1
#> 128   20.35      1  35        0         1
#> 183.1  9.24      1  67        1         0
#> 29    15.45      1  68        1         0
#> 159   10.55      1  50        0         1
#> 150.1 20.33      1  48        0         0
#> 81    14.06      1  34        0         0
#> 60.1  13.15      1  38        1         0
#> 194   22.40      1  38        0         1
#> 45    17.42      1  54        0         1
#> 41    18.02      1  40        1         0
#> 52    10.42      1  52        0         1
#> 100   16.07      1  60        0         0
#> 188   16.16      1  46        0         1
#> 168   23.72      1  70        0         0
#> 180   14.82      1  37        0         0
#> 78    23.88      1  43        0         0
#> 145   10.07      1  65        1         0
#> 97    19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 36.2  21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 10    10.53      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 181   16.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 190   20.81      1  42        1         0
#> 52.1  10.42      1  52        0         1
#> 140   12.68      1  59        1         0
#> 133.1 14.65      1  57        0         0
#> 14.1  12.89      1  21        0         0
#> 25     6.32      1  34        1         0
#> 170   19.54      1  43        0         1
#> 6.2   15.64      1  39        0         0
#> 10.1  10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 36.3  21.19      1  48        0         1
#> 60.2  13.15      1  38        1         0
#> 5     16.43      1  51        0         1
#> 5.1   16.43      1  51        0         1
#> 52.2  10.42      1  52        0         1
#> 41.1  18.02      1  40        1         0
#> 184   17.77      1  38        0         0
#> 149    8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 49    12.19      1  48        1         0
#> 70     7.38      1  30        1         0
#> 179   18.63      1  42        0         0
#> 10.2  10.53      1  34        0         0
#> 145.1 10.07      1  65        1         0
#> 190.1 20.81      1  42        1         0
#> 42    12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 92.1  22.92      1  47        0         1
#> 29.1  15.45      1  68        1         0
#> 149.1  8.37      1  33        1         0
#> 96    14.54      1  33        0         1
#> 199.2 19.81      1  NA        0         1
#> 58    19.34      1  39        0         0
#> 157   15.10      1  47        0         0
#> 42.1  12.43      1  49        0         1
#> 24    23.89      1  38        0         0
#> 181.1 16.46      1  45        0         1
#> 10.3  10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 66    22.13      1  53        0         0
#> 108   18.29      1  39        0         1
#> 157.1 15.10      1  47        0         0
#> 60.3  13.15      1  38        1         0
#> 149.2  8.37      1  33        1         0
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 197.1 21.60      1  69        1         0
#> 190.2 20.81      1  42        1         0
#> 14.2  12.89      1  21        0         0
#> 90.1  20.94      1  50        0         1
#> 175.1 21.91      1  43        0         0
#> 107   11.18      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 145.2 10.07      1  65        1         0
#> 197.2 21.60      1  69        1         0
#> 17    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 122   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 87    24.00      0  27        0         0
#> 144   24.00      0  28        0         1
#> 122.1 24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 27    24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 144.1 24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 152.1 24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 48.1  24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 109   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 112.1 24.00      0  61        0         0
#> 186   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 141.2 24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 73.1  24.00      0  NA        0         1
#> 191.1 24.00      0  60        0         1
#> 196   24.00      0  19        0         0
#> 182   24.00      0  35        0         0
#> 160   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 27.1  24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 137   24.00      0  45        1         0
#> 151.1 24.00      0  42        0         0
#> 83.1  24.00      0   6        0         0
#> 131.1 24.00      0  66        0         0
#> 17.1  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 131.2 24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 165   24.00      0  47        0         0
#> 196.1 24.00      0  19        0         0
#> 162   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 160.1 24.00      0  31        1         0
#> 27.2  24.00      0  63        1         0
#> 1.1   24.00      0  23        1         0
#> 19.1  24.00      0  57        0         1
#> 28.1  24.00      0  67        1         0
#> 152.2 24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 152.3 24.00      0  36        0         1
#> 17.2  24.00      0  38        0         1
#> 34.1  24.00      0  36        0         0
#> 116   24.00      0  58        0         1
#> 12.1  24.00      0  63        0         0
#> 126   24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 173.1 24.00      0  19        0         1
#> 174.1 24.00      0  49        1         0
#> 147.1 24.00      0  76        1         0
#> 46    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 28.2  24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 121   24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 131.3 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 131.4 24.00      0  66        0         0
#> 73.2  24.00      0  NA        0         1
#> 27.3  24.00      0  63        1         0
#> 11.1  24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.282          NA        NA      NA
#> 2 age, Cure model          0.00683        NA        NA      NA
#> 3 grade_ii, Cure model     0.106          NA        NA      NA
#> 4 grade_iii, Cure model    0.467          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00980        NA        NA      NA
#> 2 grade_ii, Survival model   0.372          NA        NA      NA
#> 3 grade_iii, Survival model  0.116          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.282047          0.006826          0.106190          0.466638  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 260.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.282046733      0.006825786      0.106189533      0.466637588 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009803105      0.371987704      0.115743082 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6957070970 0.5721712529 0.1012741106 0.5496218459 0.2851942716
#>   [6] 0.4213973990 0.1742655961 0.2488536318 0.0441168759 0.0141978721
#>  [11] 0.5164017270 0.9127257691 0.1289103290 0.0141978721 0.2315407835
#>  [16] 0.6160789562 0.3225119814 0.4213973990 0.2144667878 0.0093295392
#>  [21] 0.6610754874 0.8384975375 0.1980978345 0.4522337378 0.0231051763
#>  [26] 0.1899940245 0.9127257691 0.4628092703 0.7428811561 0.1980978345
#>  [31] 0.5608644253 0.5721712529 0.0499159268 0.3320603553 0.2945696304
#>  [36] 0.8021702049 0.4008719993 0.3907558655 0.0054314743 0.5054631350
#>  [41] 0.0025824454 0.8632299863 0.2577731097 0.7191970400 0.1012741106
#>  [46] 0.1012741106 0.0941814072 0.7547965757 0.1742655961 0.8508447863
#>  [51] 0.3514362420 0.4111029452 0.1519046981 0.8021702049 0.6496494744
#>  [56] 0.5164017270 0.6160789562 0.9874628570 0.2229607129 0.4213973990
#>  [61] 0.7547965757 0.1441014754 0.0282368568 0.1012741106 0.5721712529
#>  [66] 0.3709297759 0.3709297759 0.8021702049 0.2945696304 0.3130453995
#>  [71] 0.9377329980 0.0747599417 0.7074429156 0.9749194351 0.2668198067
#>  [76] 0.7547965757 0.8632299863 0.1519046981 0.6726052492 0.3417026654
#>  [81] 0.0282368568 0.4628092703 0.9377329980 0.5384427871 0.2315407835
#>  [86] 0.4839626814 0.6726052492 0.0006049268 0.3514362420 0.7547965757
#>  [91] 0.9002208435 0.0558723048 0.2759712441 0.4839626814 0.5721712529
#>  [96] 0.9377329980 0.0385910789 0.0620980212 0.0747599417 0.1519046981
#> [101] 0.6160789562 0.1289103290 0.0620980212 0.7310251289 0.8632299863
#> [106] 0.0747599417 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>    56    60    36    57    51     6    68    76    15   129   133   183    90 
#> 12.21 13.15 21.19 14.46 18.23 15.64 20.62 19.22 22.68 23.41 14.65  9.24 20.94 
#> 129.1    55    14   111   6.1   105   164   177    93   150    39    69   128 
#> 23.41 19.34 12.89 17.45 15.64 19.75 23.60 12.53 10.33 20.33 15.59 23.23 20.35 
#> 183.1    29   159 150.1    81  60.1   194    45    41    52   100   188   168 
#>  9.24 15.45 10.55 20.33 14.06 13.15 22.40 17.42 18.02 10.42 16.07 16.16 23.72 
#>   180    78   145    97    43  36.1  36.2   139    10  68.1    61   181   125 
#> 14.82 23.88 10.07 19.14 12.10 21.19 21.19 21.49 10.53 20.62 10.12 16.46 15.65 
#>   190  52.1   140 133.1  14.1    25   170   6.2  10.1    32    92  36.3  60.2 
#> 20.81 10.42 12.68 14.65 12.89  6.32 19.54 15.64 10.53 20.90 22.92 21.19 13.15 
#>     5   5.1  52.2  41.1   184   149   197    49    70   179  10.2 145.1 190.1 
#> 16.43 16.43 10.42 18.02 17.77  8.37 21.60 12.19  7.38 18.63 10.53 10.07 20.81 
#>    42   130  92.1  29.1 149.1    96    58   157  42.1    24 181.1  10.3   187 
#> 12.43 16.47 22.92 15.45  8.37 14.54 19.34 15.10 12.43 23.89 16.46 10.53  9.92 
#>    66   108 157.1  60.3 149.2    63   175 197.1 190.2  14.2  90.1 175.1   107 
#> 22.13 18.29 15.10 13.15  8.37 22.77 21.91 21.60 20.81 12.89 20.94 21.91 11.18 
#> 145.2 197.2    17    74   141   152   122   131     7    87   144 122.1   112 
#> 10.07 21.60 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   174    27    67 144.1     1 152.1 141.1   191  48.1    83    28   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200 112.1   186    95 141.2    33    19    34 191.1   196   182   160   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1    12   103     3   185   151   137 151.1  83.1 131.1  17.1   161   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2  74.1   173   165 196.1   162    98 160.1  27.2   1.1  19.1  28.1 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 152.3  17.2  34.1   116  12.1   126    11 173.1 174.1 147.1    46   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.2    94   121    84 131.3    21 131.4  27.3  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01874807                0.43657308                0.20002765 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.9410785               0.0149115               0.2790045 
#>   grade_iii, Cure model 
#>               0.9355315 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 41    18.02      1  40        1         0
#> 105   19.75      1  60        0         0
#> 140   12.68      1  59        1         0
#> 86    23.81      1  58        0         1
#> 150   20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 129   23.41      1  53        1         0
#> 128.1 20.35      1  35        0         1
#> 81    14.06      1  34        0         0
#> 111   17.45      1  47        0         1
#> 49    12.19      1  48        1         0
#> 150.1 20.33      1  48        0         0
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 197   21.60      1  69        1         0
#> 40    18.00      1  28        1         0
#> 36    21.19      1  48        0         1
#> 197.1 21.60      1  69        1         0
#> 134.1 17.81      1  47        1         0
#> 91     5.33      1  61        0         1
#> 70     7.38      1  30        1         0
#> 18    15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 8     18.43      1  32        0         0
#> 183    9.24      1  67        1         0
#> 164   23.60      1  76        0         1
#> 70.1   7.38      1  30        1         0
#> 26    15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 86.1  23.81      1  58        0         1
#> 59    10.16      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 155   13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 39    15.59      1  37        0         1
#> 117   17.46      1  26        0         1
#> 101    9.97      1  10        0         1
#> 154   12.63      1  20        1         0
#> 24.1  23.89      1  38        0         0
#> 175   21.91      1  43        0         0
#> 92    22.92      1  47        0         1
#> 195.1 11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 14    12.89      1  21        0         0
#> 106   16.67      1  49        1         0
#> 86.2  23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 49.1  12.19      1  48        1         0
#> 92.1  22.92      1  47        0         1
#> 61    10.12      1  36        0         1
#> 5     16.43      1  51        0         1
#> 108   18.29      1  39        0         1
#> 26.1  15.77      1  49        0         1
#> 105.1 19.75      1  60        0         0
#> 177   12.53      1  75        0         0
#> 50    10.02      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 192.1 16.44      1  31        1         0
#> 93.1  10.33      1  52        0         1
#> 145   10.07      1  65        1         0
#> 189   10.51      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 4.1   17.64      1  NA        0         1
#> 199   19.81      1  NA        0         1
#> 197.2 21.60      1  69        1         0
#> 10    10.53      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 179   18.63      1  42        0         0
#> 195.2 11.76      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 90    20.94      1  50        0         1
#> 13    14.34      1  54        0         1
#> 179.1 18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 63    22.77      1  31        1         0
#> 181   16.46      1  45        0         1
#> 96.1  14.54      1  33        0         1
#> 150.2 20.33      1  48        0         0
#> 194   22.40      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 91.1   5.33      1  61        0         1
#> 39.1  15.59      1  37        0         1
#> 58    19.34      1  39        0         0
#> 195.3 11.76      1  NA        1         0
#> 26.2  15.77      1  49        0         1
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 90.1  20.94      1  50        0         1
#> 124    9.73      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 179.2 18.63      1  42        0         0
#> 136   21.83      1  43        0         1
#> 39.2  15.59      1  37        0         1
#> 167   15.55      1  56        1         0
#> 50.1  10.02      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 117.1 17.46      1  26        0         1
#> 18.1  15.21      1  49        1         0
#> 166   19.98      1  48        0         0
#> 111.1 17.45      1  47        0         1
#> 133   14.65      1  57        0         0
#> 97.1  19.14      1  65        0         1
#> 159   10.55      1  50        0         1
#> 181.1 16.46      1  45        0         1
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 31.1  24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 176.1 24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 182   24.00      0  35        0         0
#> 112   24.00      0  61        0         0
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 44    24.00      0  56        0         0
#> 62    24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 35    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 196.1 24.00      0  19        0         0
#> 74    24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 186   24.00      0  45        1         0
#> 73.1  24.00      0  NA        0         1
#> 151   24.00      0  42        0         0
#> 48    24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 176.2 24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 73.2  24.00      0  NA        0         1
#> 19.1  24.00      0  57        0         1
#> 11    24.00      0  42        0         1
#> 19.2  24.00      0  57        0         1
#> 193.1 24.00      0  45        0         1
#> 72.1  24.00      0  40        0         1
#> 71    24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 48.1  24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 196.2 24.00      0  19        0         0
#> 74.1  24.00      0  43        0         1
#> 75.1  24.00      0  21        1         0
#> 84    24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 80    24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 75.2  24.00      0  21        1         0
#> 148   24.00      0  61        1         0
#> 126   24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 7     24.00      0  37        1         0
#> 82.2  24.00      0  34        0         0
#> 196.3 24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 94    24.00      0  51        0         1
#> 165.2 24.00      0  47        0         0
#> 48.2  24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 162.1 24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 71.1  24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 65.1  24.00      0  57        1         0
#> 160.2 24.00      0  31        1         0
#> 186.2 24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 151.1 24.00      0  42        0         0
#> 33.1  24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 147   24.00      0  76        1         0
#> 3     24.00      0  31        1         0
#> 182.2 24.00      0  35        0         0
#> 95.1  24.00      0  68        0         1
#> 33.2  24.00      0  53        0         0
#> 151.2 24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.941         NA        NA      NA
#> 2 age, Cure model           0.0149        NA        NA      NA
#> 3 grade_ii, Cure model      0.279         NA        NA      NA
#> 4 grade_iii, Cure model     0.936         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0187        NA        NA      NA
#> 2 grade_ii, Survival model    0.437         NA        NA      NA
#> 3 grade_iii, Survival model   0.200         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.94108           0.01491           0.27900           0.93553  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.2 
#> Residual Deviance: 242.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.9410785        0.0149115        0.2790045        0.9355315 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01874807       0.43657308       0.20002765 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0618265440 0.1851299914 0.0962445008 0.6580820134 0.0008379244
#>   [6] 0.0723648994 0.0048321971 0.0618265440 0.6111790069 0.2434887092
#>  [11] 0.7216459602 0.0723648994 0.2042874529 0.5366518116 0.0242164782
#>  [16] 0.1946887483 0.0387071805 0.0242164782 0.2042874529 0.9450045641
#>  [21] 0.9094360023 0.5083392331 0.0566515857 0.3078413552 0.3770177484
#>  [26] 0.0346148946 0.1173356433 0.1664785369 0.8915579560 0.0032442522
#>  [31] 0.9094360023 0.4019553334 0.1249481191 0.0008379244 0.2748308934
#>  [36] 0.8043617585 0.6266722053 0.0001090705 0.4538185488 0.2236731593
#>  [41] 0.8738782248 0.6740359821 0.0001090705 0.0180774058 0.0083510879
#>  [46] 0.9814101088 0.6423146187 0.2641346973 0.0008379244 0.3078413552
#>  [51] 0.7216459602 0.0083510879 0.8387057275 0.3413342616 0.1757022589
#>  [56] 0.4019553334 0.0962445008 0.7054731304 0.4403899065 0.3078413552
#>  [61] 0.8043617585 0.8561939887 0.3893517232 0.0242164782 0.7707908217
#>  [66] 0.0048321971 0.1409153166 0.7707908217 0.0472347510 0.5958687563
#>  [71] 0.1409153166 0.5660620753 0.0128181244 0.2857107672 0.5660620753
#>  [76] 0.0723648994 0.0153572741 0.9450045641 0.4538185488 0.1099883631
#>  [81] 0.4019553334 0.0387071805 0.3648761899 0.0472347510 0.3413342616
#>  [86] 0.1409153166 0.0210450852 0.4538185488 0.4942840496 0.6740359821
#>  [91] 0.2236731593 0.5083392331 0.0897588670 0.2434887092 0.5512281755
#>  [96] 0.1249481191 0.7541637368 0.2857107672 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000
#> 
#> $Time
#>   128    41   105   140    86   150   129 128.1    81   111    49 150.1   134 
#> 20.35 18.02 19.75 12.68 23.81 20.33 23.41 20.35 14.06 17.45 12.19 20.33 17.81 
#>   157   197    40    36 197.1 134.1    91    70    18    68    85   188   153 
#> 15.10 21.60 18.00 21.19 21.60 17.81  5.33  7.38 15.21 20.62 16.44 16.16 21.33 
#>    76     8   183   164  70.1    26    97  86.1   171    93   155    24    39 
#> 19.22 18.43  9.24 23.60  7.38 15.77 19.14 23.81 16.57 10.33 13.08 23.89 15.59 
#>   117   101   154  24.1   175    92   127    14   106  86.2   192  49.1  92.1 
#> 17.46  9.97 12.63 23.89 21.91 22.92  3.53 12.89 16.67 23.81 16.44 12.19 22.92 
#>    61     5   108  26.1 105.1   177   125 192.1  93.1   145   100 197.2    10 
#> 10.12 16.43 18.29 15.77 19.75 12.53 15.65 16.44 10.33 10.07 16.07 21.60 10.53 
#> 129.1   179  10.1    90    13 179.1    96    63   181  96.1 150.2   194  91.1 
#> 23.41 18.63 10.53 20.94 14.34 18.63 14.54 22.77 16.46 14.54 20.33 22.40  5.33 
#>  39.1    58  26.2    99    79  90.1   5.1 179.2   136  39.2   167 154.1 117.1 
#> 15.59 19.34 15.77 21.19 16.23 20.94 16.43 18.63 21.83 15.59 15.55 12.63 17.46 
#>  18.1   166 111.1   133  97.1   159 181.1   141    31   176   193  31.1   173 
#> 15.21 19.98 17.45 14.65 19.14 10.55 16.46 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1    19   182   112    82    44    62   196    35   109 196.1    74   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   185   165    72   186   151    48    75 176.2   162    65   104  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  19.2 193.1  72.1    71 165.1  48.1    33   152   102    46 196.2  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1    84  82.1    80     1  75.2   148   126 186.1 137.1    28     7  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.3    95    94 165.2  48.2     9    47 162.1 182.1  71.1 160.1   144  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.2 186.2   163    98 151.1  33.1  28.1   147     3 182.2  95.1  33.2 151.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003719209               0.324915736               0.308292318 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.53822917              0.00648764              0.18919734 
#>   grade_iii, Cure model 
#>              1.16017003 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 171   16.57      1  41        0         1
#> 130   16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 52    10.42      1  52        0         1
#> 197   21.60      1  69        1         0
#> 99    21.19      1  38        0         1
#> 100   16.07      1  60        0         0
#> 92    22.92      1  47        0         1
#> 149    8.37      1  33        1         0
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 24    23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 197.1 21.60      1  69        1         0
#> 18    15.21      1  49        1         0
#> 56    12.21      1  60        0         0
#> 167   15.55      1  56        1         0
#> 32    20.90      1  37        1         0
#> 14    12.89      1  21        0         0
#> 32.1  20.90      1  37        1         0
#> 59    10.16      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 86    23.81      1  58        0         1
#> 85    16.44      1  36        0         0
#> 4     17.64      1  NA        0         1
#> 130.1 16.47      1  53        0         1
#> 51    18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 85.1  16.44      1  36        0         0
#> 93    10.33      1  52        0         1
#> 41    18.02      1  40        1         0
#> 15    22.68      1  48        0         0
#> 136   21.83      1  43        0         1
#> 184   17.77      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 177   12.53      1  75        0         0
#> 66    22.13      1  53        0         0
#> 66.1  22.13      1  53        0         0
#> 101    9.97      1  10        0         1
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 91     5.33      1  61        0         1
#> 70     7.38      1  30        1         0
#> 153   21.33      1  55        1         0
#> 180   14.82      1  37        0         0
#> 89.1  11.44      1  NA        0         0
#> 52.1  10.42      1  52        0         1
#> 86.1  23.81      1  58        0         1
#> 70.1   7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 157   15.10      1  47        0         0
#> 169   22.41      1  46        0         0
#> 36    21.19      1  48        0         1
#> 51.1  18.23      1  83        0         1
#> 189.1 10.51      1  NA        1         0
#> 77.2   7.27      1  67        0         1
#> 91.1   5.33      1  61        0         1
#> 39    15.59      1  37        0         1
#> 59.1  10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 155.1 13.08      1  26        0         0
#> 6     15.64      1  39        0         0
#> 192   16.44      1  31        1         0
#> 113   22.86      1  34        0         0
#> 10    10.53      1  34        0         0
#> 179.1 18.63      1  42        0         0
#> 18.1  15.21      1  49        1         0
#> 189.2 10.51      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 36.1  21.19      1  48        0         1
#> 81    14.06      1  34        0         0
#> 49    12.19      1  48        1         0
#> 127    3.53      1  62        0         1
#> 127.1  3.53      1  62        0         1
#> 68    20.62      1  44        0         0
#> 125   15.65      1  67        1         0
#> 77.3   7.27      1  67        0         1
#> 99.1  21.19      1  38        0         1
#> 188   16.16      1  46        0         1
#> 63    22.77      1  31        1         0
#> 164   23.60      1  76        0         1
#> 171.1 16.57      1  41        0         1
#> 129   23.41      1  53        1         0
#> 128   20.35      1  35        0         1
#> 124    9.73      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 149.1  8.37      1  33        1         0
#> 45    17.42      1  54        0         1
#> 197.2 21.60      1  69        1         0
#> 153.1 21.33      1  55        1         0
#> 107   11.18      1  54        1         0
#> 171.2 16.57      1  41        0         1
#> 117   17.46      1  26        0         1
#> 13    14.34      1  54        0         1
#> 153.2 21.33      1  55        1         0
#> 88    18.37      1  47        0         0
#> 77.4   7.27      1  67        0         1
#> 55    19.34      1  69        0         1
#> 5     16.43      1  51        0         1
#> 167.1 15.55      1  56        1         0
#> 99.2  21.19      1  38        0         1
#> 125.1 15.65      1  67        1         0
#> 18.2  15.21      1  49        1         0
#> 6.1   15.64      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 197.3 21.60      1  69        1         0
#> 63.1  22.77      1  31        1         0
#> 72    24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 65    24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 186   24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 9     24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 11    24.00      0  42        0         1
#> 9.1   24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 83    24.00      0   6        0         0
#> 65.1  24.00      0  57        1         0
#> 138.1 24.00      0  44        1         0
#> 27.2  24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 12    24.00      0  63        0         0
#> 200   24.00      0  64        0         0
#> 116.1 24.00      0  58        0         1
#> 151   24.00      0  42        0         0
#> 137   24.00      0  45        1         0
#> 72.1  24.00      0  40        0         1
#> 186.2 24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 38    24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 146.1 24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 34    24.00      0  36        0         0
#> 165   24.00      0  47        0         0
#> 83.1  24.00      0   6        0         0
#> 178   24.00      0  52        1         0
#> 160.1 24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 73.1  24.00      0  NA        0         1
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 109   24.00      0  48        0         0
#> 17.2  24.00      0  38        0         1
#> 172.1 24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 17.3  24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 83.2  24.00      0   6        0         0
#> 11.1  24.00      0  42        0         1
#> 35.1  24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 176   24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 146.2 24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 200.1 24.00      0  64        0         0
#> 9.2   24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 21.1  24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 80.2  24.00      0  41        0         0
#> 27.3  24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 151.1 24.00      0  42        0         0
#> 21.2  24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 22    24.00      0  52        1         0
#> 65.2  24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 7.1   24.00      0  37        1         0
#> 103.1 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.538          NA        NA      NA
#> 2 age, Cure model          0.00649        NA        NA      NA
#> 3 grade_ii, Cure model     0.189          NA        NA      NA
#> 4 grade_iii, Cure model    1.16           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00372        NA        NA      NA
#> 2 grade_ii, Survival model   0.325          NA        NA      NA
#> 3 grade_iii, Survival model  0.308          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.538229          0.006488          0.189197          1.160170  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 245.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.53822917       0.00648764       0.18919734       1.16017003 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003719209      0.324915736      0.308292318 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.469276295 0.497964127 0.917138911 0.832319680 0.194156526 0.264304882
#>   [7] 0.565096633 0.075155946 0.879739556 0.171970130 0.017468482 0.005521191
#>  [13] 0.139789637 0.194156526 0.661026185 0.794107755 0.622843154 0.311268660
#>  [19] 0.765488171 0.311268660 0.400008699 0.031238619 0.517190267 0.497964127
#>  [25] 0.409972448 0.708368956 0.641955844 0.517190267 0.851259409 0.429658355
#>  [31] 0.118012523 0.183116948 0.439572466 0.917138911 0.370321660 0.784560229
#>  [37] 0.150597298 0.150597298 0.870270668 0.775040901 0.746519597 0.962924423
#>  [43] 0.898485500 0.234132109 0.698795423 0.832319680 0.031238619 0.898485500
#>  [49] 0.860769590 0.689238724 0.128828494 0.264304882 0.409972448 0.917138911
#>  [55] 0.962924423 0.613175387 0.350513953 0.746519597 0.593936282 0.517190267
#>  [61] 0.086321519 0.822768717 0.370321660 0.661026185 0.641955844 0.264304882
#>  [67] 0.727449031 0.803678297 0.981476351 0.981476351 0.330727083 0.574781002
#>  [73] 0.917138911 0.264304882 0.555445348 0.097663192 0.052069957 0.469276295
#>  [79] 0.063752097 0.340648516 0.736996743 0.879739556 0.459408266 0.194156526
#>  [85] 0.234132109 0.813230906 0.469276295 0.449516143 0.717916183 0.234132109
#>  [91] 0.390000760 0.917138911 0.360425013 0.545769342 0.622843154 0.264304882
#>  [97] 0.574781002 0.661026185 0.593936282 0.194156526 0.097663192 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   171   130    77    52   197    99   100    92   149   175    78    24   194 
#> 16.57 16.47  7.27 10.42 21.60 21.19 16.07 22.92  8.37 21.91 23.88 23.89 22.40 
#> 197.1    18    56   167    32    14  32.1   108    86    85 130.1    51    96 
#> 21.60 15.21 12.21 15.55 20.90 12.89 20.90 18.29 23.81 16.44 16.47 18.23 14.54 
#>    29  85.1    93    41    15   136   184  77.1   179   177    66  66.1   101 
#> 15.45 16.44 10.33 18.02 22.68 21.83 17.77  7.27 18.63 12.53 22.13 22.13  9.97 
#>   154   155    91    70   153   180  52.1  86.1  70.1   145   157   169    36 
#> 12.63 13.08  5.33  7.38 21.33 14.82 10.42 23.81  7.38 10.07 15.10 22.41 21.19 
#>  51.1  77.2  91.1    39   166 155.1     6   192   113    10 179.1  18.1  29.1 
#> 18.23  7.27  5.33 15.59 19.98 13.08 15.64 16.44 22.86 10.53 18.63 15.21 15.45 
#>  36.1    81    49   127 127.1    68   125  77.3  99.1   188    63   164 171.1 
#> 21.19 14.06 12.19  3.53  3.53 20.62 15.65  7.27 21.19 16.16 22.77 23.60 16.57 
#>   129   128    60 149.1    45 197.2 153.1   107 171.2   117    13 153.2    88 
#> 23.41 20.35 13.15  8.37 17.42 21.60 21.33 11.18 16.57 17.46 14.34 21.33 18.37 
#>  77.4    55     5 167.1  99.2 125.1  18.2   6.1 197.3  63.1    72    17   193 
#>  7.27 19.34 16.43 15.55 21.19 15.65 15.21 15.64 21.60 22.77 24.00 24.00 24.00 
#>    65    21   163    27   126   103   186   148     9   162   138 186.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   9.1  27.1    83  65.1 138.1  27.2   120   172   112    12   200 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   137  72.1 186.2    46   146   102    38   160    47 146.1  17.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 193.1    34   165  83.1   178 160.1   104   174    53   109  17.2 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44  17.3  80.1  83.2  11.1  35.1   143     7   176 165.1 146.2   119 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2 109.1   132  21.1   121  80.2  27.3    98 151.1  21.2   122   182    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2    64   7.1 103.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009115672               0.305002683               0.610553684 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.546962394             0.009141198             0.469421496 
#>   grade_iii, Cure model 
#>             0.667344960 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 69    23.23      1  25        0         1
#> 63    22.77      1  31        1         0
#> 6     15.64      1  39        0         0
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 66    22.13      1  53        0         0
#> 77     7.27      1  67        0         1
#> 43    12.10      1  61        0         1
#> 58    19.34      1  39        0         0
#> 190   20.81      1  42        1         0
#> 25     6.32      1  34        1         0
#> 167   15.55      1  56        1         0
#> 25.1   6.32      1  34        1         0
#> 52    10.42      1  52        0         1
#> 56    12.21      1  60        0         0
#> 140   12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 32    20.90      1  37        1         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 23    16.92      1  61        0         0
#> 166   19.98      1  48        0         0
#> 76    19.22      1  54        0         1
#> 81    14.06      1  34        0         0
#> 106   16.67      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 66.1  22.13      1  53        0         0
#> 130   16.47      1  53        0         1
#> 58.1  19.34      1  39        0         0
#> 5     16.43      1  51        0         1
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 168   23.72      1  70        0         0
#> 106.1 16.67      1  49        1         0
#> 150.1 20.33      1  48        0         0
#> 117   17.46      1  26        0         1
#> 30    17.43      1  78        0         0
#> 56.1  12.21      1  60        0         0
#> 111   17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 107   11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 125   15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 171   16.57      1  41        0         1
#> 68    20.62      1  44        0         0
#> 32.1  20.90      1  37        1         0
#> 58.2  19.34      1  39        0         0
#> 145   10.07      1  65        1         0
#> 153   21.33      1  55        1         0
#> 8     18.43      1  32        0         0
#> 157.1 15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 81.1  14.06      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 149    8.37      1  33        1         0
#> 194   22.40      1  38        0         1
#> 40    18.00      1  28        1         0
#> 153.1 21.33      1  55        1         0
#> 25.2   6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 190.1 20.81      1  42        1         0
#> 184.1 17.77      1  38        0         0
#> 76.1  19.22      1  54        0         1
#> 106.2 16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 177   12.53      1  75        0         0
#> 139   21.49      1  63        1         0
#> 188   16.16      1  46        0         1
#> 89.1  11.44      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 155   13.08      1  26        0         0
#> 57.1  14.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 197   21.60      1  69        1         0
#> 32.2  20.90      1  37        1         0
#> 177.1 12.53      1  75        0         0
#> 99    21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 68.1  20.62      1  44        0         0
#> 60    13.15      1  38        1         0
#> 40.1  18.00      1  28        1         0
#> 129   23.41      1  53        1         0
#> 130.1 16.47      1  53        0         1
#> 154   12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 106.3 16.67      1  49        1         0
#> 101    9.97      1  10        0         1
#> 108   18.29      1  39        0         1
#> 108.1 18.29      1  39        0         1
#> 88    18.37      1  47        0         0
#> 105   19.75      1  60        0         0
#> 66.2  22.13      1  53        0         0
#> 101.1  9.97      1  10        0         1
#> 125.1 15.65      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 145.1 10.07      1  65        1         0
#> 96    14.54      1  33        0         1
#> 15.1  22.68      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 37    12.52      1  57        1         0
#> 175.1 21.91      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 32.3  20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 130.2 16.47      1  53        0         1
#> 183.1  9.24      1  67        1         0
#> 11    24.00      0  42        0         1
#> 126   24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 173   24.00      0  19        0         1
#> 71    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 141   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 47    24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 135   24.00      0  58        1         0
#> 83    24.00      0   6        0         0
#> 142   24.00      0  53        0         0
#> 83.1  24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 80.1  24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 142.1 24.00      0  53        0         0
#> 118.1 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 165   24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 94.1  24.00      0  51        0         1
#> 109   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 1.1   24.00      0  23        1         0
#> 138   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 122   24.00      0  66        0         0
#> 152.1 24.00      0  36        0         1
#> 74.1  24.00      0  43        0         1
#> 12.2  24.00      0  63        0         0
#> 75.1  24.00      0  21        1         0
#> 122.1 24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 165.1 24.00      0  47        0         0
#> 12.3  24.00      0  63        0         0
#> 64.1  24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 161.1 24.00      0  45        0         0
#> 126.1 24.00      0  48        0         0
#> 87.1  24.00      0  27        0         0
#> 193.1 24.00      0  45        0         1
#> 191.1 24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 161.2 24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 53    24.00      0  32        0         1
#> 116.1 24.00      0  58        0         1
#> 74.2  24.00      0  43        0         1
#> 104.1 24.00      0  50        1         0
#> 1.2   24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 141.2 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 147   24.00      0  76        1         0
#> 3     24.00      0  31        1         0
#> 152.2 24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 163   24.00      0  66        0         0
#> 104.2 24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 102.1 24.00      0  49        0         0
#> 12.4  24.00      0  63        0         0
#> 173.1 24.00      0  19        0         1
#> 186   24.00      0  45        1         0
#> 132.1 24.00      0  55        0         0
#> 121.1 24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.547          NA        NA      NA
#> 2 age, Cure model          0.00914        NA        NA      NA
#> 3 grade_ii, Cure model     0.469          NA        NA      NA
#> 4 grade_iii, Cure model    0.667          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00912        NA        NA      NA
#> 2 grade_ii, Survival model   0.305          NA        NA      NA
#> 3 grade_iii, Survival model  0.611          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.546962          0.009141          0.469421          0.667345  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 262.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.546962394      0.009141198      0.469421496      0.667344960 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009115672      0.305002683      0.610553684 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.1594952 0.1864463 0.7931911 0.8214706 0.8326357 0.2826976 0.9733738
#>   [8] 0.9064202 0.5431294 0.4684355 0.9823393 0.8045887 0.9823393 0.9214457
#>  [15] 0.8962265 0.8649482 0.9595757 0.7515652 0.4293369 0.2277068 0.8102571
#>  [22] 0.8649482 0.6860289 0.5248311 0.5693982 0.8434524 0.6931208 0.2826976
#>  [29] 0.7265213 0.5431294 0.7638133 0.5064044 0.7758381 0.0736517 0.6931208
#>  [36] 0.5064044 0.6569820 0.6788820 0.8962265 0.6645075 0.9164830 0.9114686
#>  [43] 0.6417864 0.7817231 0.9312172 0.7198494 0.4876022 0.4293369 0.5431294
#>  [50] 0.9360385 0.3954737 0.5943231 0.8102571 0.5860119 0.8434524 0.7515652
#>  [57] 0.9687793 0.2652590 0.6264405 0.3954737 0.9823393 0.9263567 0.7931911
#>  [64] 0.4684355 0.6417864 0.5693982 0.6931208 0.9548954 0.8807172 0.3830024
#>  [71] 0.7698680 0.3561059 0.8595880 0.8326357 0.3270872 0.3699314 0.4293369
#>  [78] 0.8807172 0.4182696 0.9956030 0.4876022 0.8542189 0.6264405 0.1249163
#>  [85] 0.7265213 0.8754635 0.7453345 0.6931208 0.9455147 0.6108069 0.6108069
#>  [92] 0.6025951 0.5340373 0.2826976 0.9455147 0.7817231 0.6645075 0.9360385
#>  [99] 0.8270812 0.2277068 0.9733738 0.8910723 0.3270872 0.1864463 0.4293369
#> [106] 0.7265213 0.9595757 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    69    63     6   180    57    66    77    43    58   190    25   167  25.1 
#> 23.23 22.77 15.64 14.82 14.46 22.13  7.27 12.10 19.34 20.81  6.32 15.55  6.32 
#>    52    56   140   183   192    32    15   157 140.1    23   166    76    81 
#> 10.42 12.21 12.68  9.24 16.44 20.90 22.68 15.10 12.68 16.92 19.98 19.22 14.06 
#>   106  66.1   130  58.1     5   150    26   168 106.1 150.1   117    30  56.1 
#> 16.67 22.13 16.47 19.34 16.43 20.33 15.77 23.72 16.67 20.33 17.46 17.43 12.21 
#>   111   159   107   184   125    61   171    68  32.1  58.2   145   153     8 
#> 17.45 10.55 11.18 17.77 15.65 10.12 16.57 20.62 20.90 19.34 10.07 21.33 18.43 
#> 157.1   179  81.1 192.1   149   194    40 153.1  25.2    93   6.1 190.1 184.1 
#> 15.10 18.63 14.06 16.44  8.37 22.40 18.00 21.33  6.32 10.33 15.64 20.81 17.77 
#>  76.1 106.2   187   177   139   188   136   155  57.1   175   197  32.2 177.1 
#> 19.22 16.67  9.92 12.53 21.49 16.16 21.83 13.08 14.46 21.91 21.60 20.90 12.53 
#>    99   127  68.1    60  40.1   129 130.1   154   181 106.3   101   108 108.1 
#> 21.19  3.53 20.62 13.15 18.00 23.41 16.47 12.63 16.46 16.67  9.97 18.29 18.29 
#>    88   105  66.2 101.1 125.1 111.1 145.1    96  15.1  77.1    37 175.1  63.1 
#> 18.37 19.75 22.13  9.97 15.65 17.45 10.07 14.54 22.68  7.27 12.52 21.91 22.77 
#>  32.3 130.2 183.1    11   126    80    12    75   185    44    74   118    46 
#> 20.90 16.47  9.24 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   173    71   146   161   141   132    47   152    64   135    83   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1   102    94  80.1    33  12.1    87   162 142.1 118.1     1   165    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1    21  94.1   109   1.1   138   191   122 152.1  74.1  12.2  75.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1   200 165.1  12.3  64.1   121   193 161.1 126.1  87.1 193.1 191.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2   104     9   148    53 116.1  74.2 104.1   1.2   137 141.2    98   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3 152.2   131   163 104.2     2 102.1  12.4 173.1   186 132.1 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007110993               0.664474765               0.420204127 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.557904577             0.008644677             0.023382921 
#>   grade_iii, Cure model 
#>             1.092983627 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 101    9.97      1  10        0         1
#> 16     8.71      1  71        0         1
#> 129   23.41      1  53        1         0
#> 195   11.76      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 110   17.56      1  65        0         1
#> 177   12.53      1  75        0         0
#> 70     7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 6     15.64      1  39        0         0
#> 63    22.77      1  31        1         0
#> 113   22.86      1  34        0         0
#> 105   19.75      1  60        0         0
#> 18    15.21      1  49        1         0
#> 113.1 22.86      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 57    14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 150   20.33      1  48        0         0
#> 16.1   8.71      1  71        0         1
#> 13    14.34      1  54        0         1
#> 123.1 13.00      1  44        1         0
#> 42    12.43      1  49        0         1
#> 96    14.54      1  33        0         1
#> 86    23.81      1  58        0         1
#> 86.1  23.81      1  58        0         1
#> 96.1  14.54      1  33        0         1
#> 90    20.94      1  50        0         1
#> 100   16.07      1  60        0         0
#> 101.1  9.97      1  10        0         1
#> 90.1  20.94      1  50        0         1
#> 164   23.60      1  76        0         1
#> 97    19.14      1  65        0         1
#> 96.2  14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 111   17.45      1  47        0         1
#> 4     17.64      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 130.1 16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 187.1  9.92      1  39        1         0
#> 77     7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 25     6.32      1  34        1         0
#> 140   12.68      1  59        1         0
#> 194   22.40      1  38        0         1
#> 187.2  9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 184.1 17.77      1  38        0         0
#> 184.2 17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 68    20.62      1  44        0         0
#> 51    18.23      1  83        0         1
#> 61    10.12      1  36        0         1
#> 56.1  12.21      1  60        0         0
#> 56.2  12.21      1  60        0         0
#> 167   15.55      1  56        1         0
#> 45    17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 194.1 22.40      1  38        0         1
#> 77.1   7.27      1  67        0         1
#> 61.1  10.12      1  36        0         1
#> 157   15.10      1  47        0         0
#> 51.1  18.23      1  83        0         1
#> 76    19.22      1  54        0         1
#> 8     18.43      1  32        0         0
#> 155   13.08      1  26        0         0
#> 180   14.82      1  37        0         0
#> 154   12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 41.1  18.02      1  40        1         0
#> 155.1 13.08      1  26        0         0
#> 183    9.24      1  67        1         0
#> 41.2  18.02      1  40        1         0
#> 188   16.16      1  46        0         1
#> 166   19.98      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 96.3  14.54      1  33        0         1
#> 194.2 22.40      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 187.3  9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 90.2  20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 42.1  12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 133   14.65      1  57        0         0
#> 139.1 21.49      1  63        1         0
#> 91.1   5.33      1  61        0         1
#> 110.1 17.56      1  65        0         1
#> 85    16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 60    13.15      1  38        1         0
#> 90.3  20.94      1  50        0         1
#> 130.2 16.47      1  53        0         1
#> 175   21.91      1  43        0         0
#> 89    11.44      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 113.2 22.86      1  34        0         0
#> 139.2 21.49      1  63        1         0
#> 150.1 20.33      1  48        0         0
#> 59.1  10.16      1  NA        1         0
#> 195.1 11.76      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 123.2 13.00      1  44        1         0
#> 126   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 44    24.00      0  56        0         0
#> 141   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 44.1  24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 28    24.00      0  67        1         0
#> 21    24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 191   24.00      0  60        0         1
#> 12    24.00      0  63        0         0
#> 198   24.00      0  66        0         1
#> 178   24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 122.1 24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 64    24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 112   24.00      0  61        0         0
#> 20.1  24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 75    24.00      0  21        1         0
#> 9     24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 151   24.00      0  42        0         0
#> 75.1  24.00      0  21        1         0
#> 196   24.00      0  19        0         0
#> 84    24.00      0  39        0         1
#> 138   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 11.1  24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 2     24.00      0   9        0         0
#> 118   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 141.2 24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 98.1  24.00      0  34        1         0
#> 82    24.00      0  34        0         0
#> 44.2  24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 112.1 24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 46.1  24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 28.1  24.00      0  67        1         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 185   24.00      0  44        1         0
#> 152.1 24.00      0  36        0         1
#> 102.1 24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 74    24.00      0  43        0         1
#> 28.2  24.00      0  67        1         0
#> 156   24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 118.1 24.00      0  44        1         0
#> 104.1 24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 64.2  24.00      0  43        0         0
#> 165.1 24.00      0  47        0         0
#> 156.1 24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 185.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.558          NA        NA      NA
#> 2 age, Cure model          0.00864        NA        NA      NA
#> 3 grade_ii, Cure model     0.0234         NA        NA      NA
#> 4 grade_iii, Cure model    1.09           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00711        NA        NA      NA
#> 2 grade_ii, Survival model   0.664          NA        NA      NA
#> 3 grade_iii, Survival model  0.420          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.557905          0.008645          0.023383          1.092984  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 249.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.557904577      0.008644677      0.023382921      1.092983627 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007110993      0.664474765      0.420204127 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.373459422 0.854396790 0.927404001 0.054386677 0.712749666 0.411661137
#>   [7] 0.759921633 0.945625721 0.383064619 0.557537643 0.093809026 0.064746414
#>  [13] 0.275024487 0.586914560 0.064746414 0.557537643 0.664341038 0.460317063
#>  [19] 0.245936379 0.927404001 0.674075682 0.712749666 0.769392078 0.626192380
#>  [25] 0.024533071 0.024533071 0.626192380 0.200691571 0.518435659 0.854396790
#>  [31] 0.200691571 0.043334699 0.295034918 0.626192380 0.345100637 0.430990734
#>  [37] 0.788182214 0.460317063 0.873041780 0.873041780 0.954730645 0.162776234
#>  [43] 0.972872503 0.740995993 0.114595202 0.873041780 0.003397372 0.383064619
#>  [49] 0.383064619 0.104051742 0.236361488 0.325158642 0.826073734 0.788182214
#>  [55] 0.788182214 0.577100156 0.440746539 0.981941427 0.114595202 0.954730645
#>  [61] 0.826073734 0.596668347 0.325158642 0.285036159 0.305047668 0.693468168
#>  [67] 0.606467647 0.750499725 0.172972878 0.345100637 0.693468168 0.909211314
#>  [73] 0.345100637 0.508648771 0.265137840 0.909211314 0.547752973 0.626192380
#>  [79] 0.114595202 0.012594396 0.873041780 0.844936153 0.489081534 0.200691571
#>  [85] 0.450494397 0.769392078 0.816549037 0.616303716 0.172972878 0.981941427
#>  [91] 0.411661137 0.498843482 0.142318998 0.683805146 0.200691571 0.460317063
#>  [97] 0.152457132 0.315127779 0.064746414 0.172972878 0.245936379 0.528287142
#> [103] 0.528287142 0.712749666 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   134   101    16   129   123   110   177    70   184     6    63   113   105 
#> 17.81  9.97  8.71 23.41 13.00 17.56 12.53  7.38 17.77 15.64 22.77 22.86 19.75 
#>    18 113.1   6.1    57   130   150  16.1    13 123.1    42    96    86  86.1 
#> 15.21 22.86 15.64 14.46 16.47 20.33  8.71 14.34 13.00 12.43 14.54 23.81 23.81 
#>  96.1    90   100 101.1  90.1   164    97  96.2    41   111    56 130.1   187 
#> 14.54 20.94 16.07  9.97 20.94 23.60 19.14 14.54 18.02 17.45 12.21 16.47  9.92 
#> 187.1    77   197    25   140   194 187.2    24 184.1 184.2    15    68    51 
#>  9.92  7.27 21.60  6.32 12.68 22.40  9.92 23.89 17.77 17.77 22.68 20.62 18.23 
#>    61  56.1  56.2   167    45    91 194.1  77.1  61.1   157  51.1    76     8 
#> 10.12 12.21 12.21 15.55 17.42  5.33 22.40  7.27 10.12 15.10 18.23 19.22 18.43 
#>   155   180   154   139  41.1 155.1   183  41.2   188   166 183.1   125  96.3 
#> 13.08 14.82 12.63 21.49 18.02 13.08  9.24 18.02 16.16 19.98  9.24 15.65 14.54 
#> 194.2    78 187.3   145   181  90.2    23  42.1    49   133 139.1  91.1 110.1 
#> 22.40 23.88  9.92 10.07 16.46 20.94 16.92 12.43 12.19 14.65 21.49  5.33 17.56 
#>    85    66    60  90.3 130.2   175   108 113.2 139.2 150.1    26  26.1 123.2 
#> 16.44 22.13 13.15 20.94 16.47 21.91 18.29 22.86 21.49 20.33 15.77 15.77 13.00 
#>   126    71    31    44   141   122     1  44.1    46   121    20    28    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    11   174   191    12   198   178    95   144 122.1   104    17    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   112  20.1    27    80    94    75     9 126.1   151  75.1   196    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138  64.1  11.1   109    98   160    72   116     2   118 141.1    33    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2  27.1  98.1    82  44.2   165 112.1   102  46.1   152    67  28.1     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   185 152.1 102.1    74  28.2   156 143.1   119 118.1 104.1   142    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2 165.1 156.1    35   131    38   135 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005792526               0.817916977               0.528187692 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.5930496393           -0.0005972224            0.9893674668 
#>   grade_iii, Cure model 
#>            1.5371338509 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 43    12.10      1  61        0         1
#> 24    23.89      1  38        0         0
#> 15    22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 177   12.53      1  75        0         0
#> 52    10.42      1  52        0         1
#> 52.1  10.42      1  52        0         1
#> 43.1  12.10      1  61        0         1
#> 10    10.53      1  34        0         0
#> 158   20.14      1  74        1         0
#> 93    10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 25     6.32      1  34        1         0
#> 40    18.00      1  28        1         0
#> 89    11.44      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 70     7.38      1  30        1         0
#> 97    19.14      1  65        0         1
#> 43.2  12.10      1  61        0         1
#> 88    18.37      1  47        0         0
#> 106   16.67      1  49        1         0
#> 168   23.72      1  70        0         0
#> 107   11.18      1  54        1         0
#> 130   16.47      1  53        0         1
#> 45    17.42      1  54        0         1
#> 139   21.49      1  63        1         0
#> 125   15.65      1  67        1         0
#> 192   16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 123   13.00      1  44        1         0
#> 61    10.12      1  36        0         1
#> 63    22.77      1  31        1         0
#> 76    19.22      1  54        0         1
#> 52.2  10.42      1  52        0         1
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 179   18.63      1  42        0         0
#> 167   15.55      1  56        1         0
#> 69    23.23      1  25        0         1
#> 70.1   7.38      1  30        1         0
#> 124    9.73      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 50    10.02      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 52.3  10.42      1  52        0         1
#> 187    9.92      1  39        1         0
#> 154   12.63      1  20        1         0
#> 41    18.02      1  40        1         0
#> 25.1   6.32      1  34        1         0
#> 25.2   6.32      1  34        1         0
#> 127    3.53      1  62        0         1
#> 154.1 12.63      1  20        1         0
#> 69.1  23.23      1  25        0         1
#> 158.1 20.14      1  74        1         0
#> 130.1 16.47      1  53        0         1
#> 133   14.65      1  57        0         0
#> 158.2 20.14      1  74        1         0
#> 70.2   7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 158.3 20.14      1  74        1         0
#> 183    9.24      1  67        1         0
#> 18    15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 153   21.33      1  55        1         0
#> 32.1  20.90      1  37        1         0
#> 168.1 23.72      1  70        0         0
#> 153.1 21.33      1  55        1         0
#> 4     17.64      1  NA        0         1
#> 66    22.13      1  53        0         0
#> 164   23.60      1  76        0         1
#> 101.1  9.97      1  10        0         1
#> 55    19.34      1  69        0         1
#> 177.1 12.53      1  75        0         0
#> 171   16.57      1  41        0         1
#> 117   17.46      1  26        0         1
#> 171.1 16.57      1  41        0         1
#> 128   20.35      1  35        0         1
#> 123.1 13.00      1  44        1         0
#> 6.1   15.64      1  39        0         0
#> 52.4  10.42      1  52        0         1
#> 26    15.77      1  49        0         1
#> 15.1  22.68      1  48        0         0
#> 69.2  23.23      1  25        0         1
#> 136   21.83      1  43        0         1
#> 145   10.07      1  65        1         0
#> 180   14.82      1  37        0         0
#> 181   16.46      1  45        0         1
#> 145.1 10.07      1  65        1         0
#> 93.1  10.33      1  52        0         1
#> 70.3   7.38      1  30        1         0
#> 79    16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 45.1  17.42      1  54        0         1
#> 55.1  19.34      1  69        0         1
#> 101.2  9.97      1  10        0         1
#> 55.2  19.34      1  69        0         1
#> 194   22.40      1  38        0         1
#> 179.1 18.63      1  42        0         0
#> 149    8.37      1  33        1         0
#> 190   20.81      1  42        1         0
#> 16     8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 195   11.76      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 23.1  16.92      1  61        0         0
#> 136.1 21.83      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 28    24.00      0  67        1         0
#> 20    24.00      0  46        1         0
#> 161   24.00      0  45        0         0
#> 98    24.00      0  34        1         0
#> 185   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 185.1 24.00      0  44        1         0
#> 161.1 24.00      0  45        0         0
#> 200   24.00      0  64        0         0
#> 191   24.00      0  60        0         1
#> 143   24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 156   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 143.1 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 185.2 24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 126   24.00      0  48        0         0
#> 82    24.00      0  34        0         0
#> 84    24.00      0  39        0         1
#> 27    24.00      0  63        1         0
#> 200.1 24.00      0  64        0         0
#> 33    24.00      0  53        0         0
#> 163.1 24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 84.1  24.00      0  39        0         1
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 103   24.00      0  56        1         0
#> 196   24.00      0  19        0         0
#> 200.2 24.00      0  64        0         0
#> 33.1  24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 3.1   24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 27.1  24.00      0  63        1         0
#> 126.1 24.00      0  48        0         0
#> 46    24.00      0  71        0         0
#> 94.1  24.00      0  51        0         1
#> 44.1  24.00      0  56        0         0
#> 120   24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 143.2 24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 83.1  24.00      0   6        0         0
#> 156.1 24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 196.1 24.00      0  19        0         0
#> 104   24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 34.2  24.00      0  36        0         0
#> 75    24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 147.2 24.00      0  76        1         0
#> 44.2  24.00      0  56        0         0
#> 33.2  24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 163.2 24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 64    24.00      0  43        0         0
#> 28.1  24.00      0  67        1         0
#> 104.1 24.00      0  50        1         0
#> 152.1 24.00      0  36        0         1
#> 163.3 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.593           NA        NA      NA
#> 2 age, Cure model         -0.000597        NA        NA      NA
#> 3 grade_ii, Cure model     0.989           NA        NA      NA
#> 4 grade_iii, Cure model    1.54            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00579        NA        NA      NA
#> 2 grade_ii, Survival model   0.818          NA        NA      NA
#> 3 grade_iii, Survival model  0.528          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.5930496        -0.0005972         0.9893675         1.5371339  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 246.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.5930496393    -0.0005972224     0.9893674668     1.5371338509 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005792526      0.817916977      0.528187692 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.769268788 0.291180385 0.777179241 0.005437231 0.156542018 0.463494364
#>   [7] 0.753484532 0.816172213 0.816172213 0.777179241 0.808346876 0.342608145
#>  [13] 0.854101676 0.713610754 0.972166655 0.482172128 0.697044776 0.943954491
#>  [19] 0.425993257 0.777179241 0.454014045 0.535960628 0.035574340 0.800535059
#>  [25] 0.570790868 0.500302032 0.245786225 0.630433064 0.596606098 0.233417984
#>  [31] 0.721801191 0.869410293 0.143605834 0.407432400 0.816172213 0.892185807
#>  [37] 0.596606098 0.435343315 0.655503415 0.090669399 0.943954491 0.018906223
#>  [43] 0.407432400 0.816172213 0.914420913 0.737815944 0.472906745 0.972166655
#>  [49] 0.972166655 0.993011571 0.737815944 0.090669399 0.342608145 0.570790868
#>  [55] 0.688707092 0.342608145 0.943954491 0.638797051 0.342608145 0.921844520
#>  [61] 0.663842268 0.322094157 0.257808021 0.291180385 0.035574340 0.257808021
#>  [67] 0.195392437 0.070645134 0.892185807 0.379609850 0.753484532 0.553468146
#>  [73] 0.491275442 0.553468146 0.332412001 0.721801191 0.638797051 0.816172213
#>  [79] 0.622009066 0.156542018 0.090669399 0.208675071 0.877073074 0.680397697
#>  [85] 0.587984465 0.877073074 0.854101676 0.943954491 0.613553373 0.672107833
#>  [91] 0.500302032 0.379609850 0.892185807 0.379609850 0.182344527 0.435343315
#>  [97] 0.936620525 0.311850163 0.929236165 0.705342682 0.535960628 0.279985008
#> [103] 0.518039983 0.129539445 0.518039983 0.208675071 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    42    32    43    24    15   108   177    52  52.1  43.1    10   158    93 
#> 12.43 20.90 12.10 23.89 22.68 18.29 12.53 10.42 10.42 12.10 10.53 20.14 10.33 
#>    60    25    40    96    70    97  43.2    88   106   168   107   130    45 
#> 13.15  6.32 18.00 14.54  7.38 19.14 12.10 18.37 16.67 23.72 11.18 16.47 17.42 
#>   139   125   192   197   123    61    63    76  52.2   101    85   179   167 
#> 21.49 15.65 16.44 21.60 13.00 10.12 22.77 19.22 10.42  9.97 16.44 18.63 15.55 
#>    69  70.1    78  76.1  52.3   187   154    41  25.1  25.2   127 154.1  69.1 
#> 23.23  7.38 23.88 19.22 10.42  9.92 12.63 18.02  6.32  6.32  3.53 12.63 23.23 
#> 158.1 130.1   133 158.2  70.2     6 158.3   183    18    68   153  32.1 168.1 
#> 20.14 16.47 14.65 20.14  7.38 15.64 20.14  9.24 15.21 20.62 21.33 20.90 23.72 
#> 153.1    66   164 101.1    55 177.1   171   117 171.1   128 123.1   6.1  52.4 
#> 21.33 22.13 23.60  9.97 19.34 12.53 16.57 17.46 16.57 20.35 13.00 15.64 10.42 
#>    26  15.1  69.2   136   145   180   181 145.1  93.1  70.3    79   157  45.1 
#> 15.77 22.68 23.23 21.83 10.07 14.82 16.46 10.07 10.33  7.38 16.23 15.10 17.42 
#>  55.1 101.2  55.2   194 179.1   149   190    16    57 106.1    90    23    92 
#> 19.34  9.97 19.34 22.40 18.63  8.37 20.81  8.71 14.46 16.67 20.94 16.92 22.92 
#>  23.1 136.1    28    20   161    98   185   193   165    31    94 185.1 161.1 
#> 16.92 21.83 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   191   143     3   142   147   160   151   156   163    83 143.1    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    95    21    53 185.2   198   126    82    84    27 200.1    33 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  84.1   132   141  20.1   103   196 200.2  33.1   152 141.1 147.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   3.1 191.1     9   178  27.1 126.1    46  94.1  44.1   120    74 143.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1  83.1 156.1    80 196.1   104    71 132.1  34.2    75    62 147.2  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.2    47   173 163.2   122    64  28.1 104.1 152.1 163.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001642449               0.858633056               0.529602171 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.87592151              0.01233655              0.26890717 
#>   grade_iii, Cure model 
#>              1.20277635 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 168   23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 68    20.62      1  44        0         0
#> 39    15.59      1  37        0         1
#> 93    10.33      1  52        0         1
#> 91     5.33      1  61        0         1
#> 68.1  20.62      1  44        0         0
#> 86    23.81      1  58        0         1
#> 170   19.54      1  43        0         1
#> 113   22.86      1  34        0         0
#> 25     6.32      1  34        1         0
#> 18    15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 56    12.21      1  60        0         0
#> 111   17.45      1  47        0         1
#> 154   12.63      1  20        1         0
#> 188   16.16      1  46        0         1
#> 4     17.64      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 159   10.55      1  50        0         1
#> 26    15.77      1  49        0         1
#> 125   15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 14    12.89      1  21        0         0
#> 96    14.54      1  33        0         1
#> 4.1   17.64      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 86.1  23.81      1  58        0         1
#> 168.1 23.72      1  70        0         0
#> 140   12.68      1  59        1         0
#> 155   13.08      1  26        0         0
#> 96.1  14.54      1  33        0         1
#> 63    22.77      1  31        1         0
#> 58    19.34      1  39        0         0
#> 59    10.16      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 128   20.35      1  35        0         1
#> 63.2  22.77      1  31        1         0
#> 194   22.40      1  38        0         1
#> 5     16.43      1  51        0         1
#> 25.1   6.32      1  34        1         0
#> 158   20.14      1  74        1         0
#> 92    22.92      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 194.1 22.40      1  38        0         1
#> 45    17.42      1  54        0         1
#> 108   18.29      1  39        0         1
#> 43    12.10      1  61        0         1
#> 93.1  10.33      1  52        0         1
#> 164   23.60      1  76        0         1
#> 89    11.44      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 110   17.56      1  65        0         1
#> 81    14.06      1  34        0         0
#> 149    8.37      1  33        1         0
#> 57    14.46      1  45        0         1
#> 18.1  15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 97    19.14      1  65        0         1
#> 184.1 17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 24    23.89      1  38        0         0
#> 39.1  15.59      1  37        0         1
#> 36    21.19      1  48        0         1
#> 23    16.92      1  61        0         0
#> 106   16.67      1  49        1         0
#> 15    22.68      1  48        0         0
#> 90    20.94      1  50        0         1
#> 150   20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 58.1  19.34      1  39        0         0
#> 125.1 15.65      1  67        1         0
#> 77     7.27      1  67        0         1
#> 32.1  20.90      1  37        1         0
#> 90.1  20.94      1  50        0         1
#> 56.1  12.21      1  60        0         0
#> 77.1   7.27      1  67        0         1
#> 167   15.55      1  56        1         0
#> 68.2  20.62      1  44        0         0
#> 43.1  12.10      1  61        0         1
#> 68.3  20.62      1  44        0         0
#> 183.1  9.24      1  67        1         0
#> 92.1  22.92      1  47        0         1
#> 4.2   17.64      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 154.1 12.63      1  20        1         0
#> 166   19.98      1  48        0         0
#> 66    22.13      1  53        0         0
#> 40    18.00      1  28        1         0
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 90.2  20.94      1  50        0         1
#> 99    21.19      1  38        0         1
#> 24.1  23.89      1  38        0         0
#> 50.1  10.02      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 26.1  15.77      1  49        0         1
#> 55    19.34      1  69        0         1
#> 25.2   6.32      1  34        1         0
#> 5.1   16.43      1  51        0         1
#> 150.1 20.33      1  48        0         0
#> 61.1  10.12      1  36        0         1
#> 92.2  22.92      1  47        0         1
#> 159.1 10.55      1  50        0         1
#> 140.1 12.68      1  59        1         0
#> 130   16.47      1  53        0         1
#> 101.1  9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 116   24.00      0  58        0         1
#> 193   24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 33    24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 27    24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 115   24.00      0  NA        1         0
#> 115.1 24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 162.1 24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 54    24.00      0  53        1         0
#> 119   24.00      0  17        0         0
#> 131   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 83    24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 7.1   24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 156   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 163   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 137   24.00      0  45        1         0
#> 163.1 24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 34.1  24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 84.1  24.00      0  39        0         1
#> 31.1  24.00      0  36        0         1
#> 162.2 24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 80.1  24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 126   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 116.1 24.00      0  58        0         1
#> 196   24.00      0  19        0         0
#> 2     24.00      0   9        0         0
#> 87    24.00      0  27        0         0
#> 1.1   24.00      0  23        1         0
#> 102   24.00      0  49        0         0
#> 22    24.00      0  52        1         0
#> 132.2 24.00      0  55        0         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 33.1  24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 119.1 24.00      0  17        0         0
#> 7.2   24.00      0  37        1         0
#> 34.2  24.00      0  36        0         0
#> 28.1  24.00      0  67        1         0
#> 75    24.00      0  21        1         0
#> 156.1 24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 31.2  24.00      0  36        0         1
#> 20.1  24.00      0  46        1         0
#> 83.1  24.00      0   6        0         0
#> 84.2  24.00      0  39        0         1
#> 80.2  24.00      0  41        0         0
#> 71.1  24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 152.2 24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 142   24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 186.2 24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.876         NA        NA      NA
#> 2 age, Cure model           0.0123        NA        NA      NA
#> 3 grade_ii, Cure model      0.269         NA        NA      NA
#> 4 grade_iii, Cure model     1.20          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00164        NA        NA      NA
#> 2 grade_ii, Survival model   0.859          NA        NA      NA
#> 3 grade_iii, Survival model  0.530          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.87592           0.01234           0.26891           1.20278  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 243.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.87592151       0.01233655       0.26890717       1.20277635 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001642449      0.858633056      0.529602171 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.12374563 0.93545115 0.39363121 0.70392883 0.89480870 0.99367786
#>   [7] 0.39363121 0.08816143 0.48126150 0.22216059 0.97476775 0.72779318
#>  [13] 0.88788638 0.83902478 0.60165625 0.82495282 0.66268882 0.78851057
#>  [19] 0.86708927 0.67116097 0.68776224 0.92203267 0.80319000 0.74314946
#>  [25] 0.57461205 0.08816143 0.12374563 0.81056586 0.78096773 0.74314946
#>  [31] 0.23764430 0.49085349 0.23764430 0.43236047 0.23764430 0.28551847
#>  [37] 0.64572903 0.97476775 0.46186736 0.17902440 0.28551847 0.61059235
#>  [43] 0.55628544 0.85311892 0.89480870 0.16054830 0.06176884 0.59264356
#>  [49] 0.77342794 0.95526187 0.75831501 0.72779318 0.76589213 0.52827418
#>  [55] 0.57461205 0.53760012 0.02130618 0.70392883 0.32046103 0.61945658
#>  [61] 0.62833292 0.27310389 0.34273167 0.44224782 0.88093375 0.37390568
#>  [67] 0.49085349 0.68776224 0.96180924 0.37390568 0.34273167 0.83902478
#>  [73] 0.96180924 0.71987638 0.39363121 0.85311892 0.39363121 0.93545115
#>  [79] 0.17902440 0.94865859 0.82495282 0.47155687 0.30863839 0.56554181
#>  [85] 0.51886080 0.90848194 0.34273167 0.32046103 0.02130618 0.78851057
#>  [91] 0.67116097 0.49085349 0.97476775 0.64572903 0.44224782 0.90848194
#>  [97] 0.17902440 0.86708927 0.81056586 0.63706403 0.92203267 0.54693685
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   168   183    68    39    93    91  68.1    86   170   113    25    18    52 
#> 23.72  9.24 20.62 15.59 10.33  5.33 20.62 23.81 19.54 22.86  6.32 15.21 10.42 
#>    56   111   154   188   123   159    26   125   101    14    96   184  86.1 
#> 12.21 17.45 12.63 16.16 13.00 10.55 15.77 15.65  9.97 12.89 14.54 17.77 23.81 
#> 168.1   140   155  96.1    63    58  63.1   128  63.2   194     5  25.1   158 
#> 23.72 12.68 13.08 14.54 22.77 19.34 22.77 20.35 22.77 22.40 16.43  6.32 20.14 
#>    92 194.1    45   108    43  93.1   164    78   110    81   149    57  18.1 
#> 22.92 22.40 17.42 18.29 12.10 10.33 23.60 23.88 17.56 14.06  8.37 14.46 15.21 
#>    13    97 184.1   179    24  39.1    36    23   106    15    90   150    10 
#> 14.34 19.14 17.77 18.63 23.89 15.59 21.19 16.92 16.67 22.68 20.94 20.33 10.53 
#>    32  58.1 125.1    77  32.1  90.1  56.1  77.1   167  68.2  43.1  68.3 183.1 
#> 20.90 19.34 15.65  7.27 20.90 20.94 12.21  7.27 15.55 20.62 12.10 20.62  9.24 
#>  92.1    16 154.1   166    66    40    76    61  90.2    99  24.1 123.1  26.1 
#> 22.92  8.71 12.63 19.98 22.13 18.00 19.22 10.12 20.94 21.19 23.89 13.00 15.77 
#>    55  25.2   5.1 150.1  61.1  92.2 159.1 140.1   130 101.1    88   116   193 
#> 19.34  6.32 16.43 20.33 10.12 22.92 10.55 12.68 16.47  9.97 18.37 24.00 24.00 
#>   186   178    20    33   151   162     1    27     7   161 162.1    28   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53    54   119   131    80   191    83   152   173   7.1   132   156   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   200    84   141    31 152.1   174   137 163.1 186.1    71    34    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   122    21  84.1  31.1 162.2 132.1  80.1   182   126   135 116.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    87   1.1   102    22 132.2    12   103  33.1    95   121 119.1   7.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.2  28.1    75 156.1    64  31.2  20.1  83.1  84.2  80.2  71.1  64.1 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1   142    17 186.2    11 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006601053               0.571517716               0.212276511 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.28143339              0.02404753              0.18374711 
#>   grade_iii, Cure model 
#>              0.90373168 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 69    23.23      1  25        0         1
#> 60    13.15      1  38        1         0
#> 127    3.53      1  62        0         1
#> 101    9.97      1  10        0         1
#> 187    9.92      1  39        1         0
#> 164   23.60      1  76        0         1
#> 175   21.91      1  43        0         0
#> 93    10.33      1  52        0         1
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 189   10.51      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 155   13.08      1  26        0         0
#> 134   17.81      1  47        1         0
#> 23    16.92      1  61        0         0
#> 60.1  13.15      1  38        1         0
#> 57    14.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 106   16.67      1  49        1         0
#> 130   16.47      1  53        0         1
#> 43    12.10      1  61        0         1
#> 40    18.00      1  28        1         0
#> 155.1 13.08      1  26        0         0
#> 57.1  14.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 85    16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 6     15.64      1  39        0         0
#> 18    15.21      1  49        1         0
#> 139   21.49      1  63        1         0
#> 68    20.62      1  44        0         0
#> 50.1  10.02      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 68.1  20.62      1  44        0         0
#> 181   16.46      1  45        0         1
#> 129   23.41      1  53        1         0
#> 159   10.55      1  50        0         1
#> 195   11.76      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 32    20.90      1  37        1         0
#> 49    12.19      1  48        1         0
#> 36    21.19      1  48        0         1
#> 166.1 19.98      1  48        0         0
#> 26    15.77      1  49        0         1
#> 16     8.71      1  71        0         1
#> 177   12.53      1  75        0         0
#> 86    23.81      1  58        0         1
#> 25     6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 58    19.34      1  39        0         0
#> 130.1 16.47      1  53        0         1
#> 183    9.24      1  67        1         0
#> 197.1 21.60      1  69        1         0
#> 51    18.23      1  83        0         1
#> 55    19.34      1  69        0         1
#> 123.1 13.00      1  44        1         0
#> 124    9.73      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 129.1 23.41      1  53        1         0
#> 32.1  20.90      1  37        1         0
#> 199.1 19.81      1  NA        0         1
#> 181.1 16.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 153   21.33      1  55        1         0
#> 169   22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 101.1  9.97      1  10        0         1
#> 49.1  12.19      1  48        1         0
#> 36.1  21.19      1  48        0         1
#> 86.1  23.81      1  58        0         1
#> 86.2  23.81      1  58        0         1
#> 145   10.07      1  65        1         0
#> 99.1  21.19      1  38        0         1
#> 149    8.37      1  33        1         0
#> 167   15.55      1  56        1         0
#> 26.1  15.77      1  49        0         1
#> 58.1  19.34      1  39        0         0
#> 41.1  18.02      1  40        1         0
#> 78.1  23.88      1  43        0         0
#> 61    10.12      1  36        0         1
#> 169.1 22.41      1  46        0         0
#> 92    22.92      1  47        0         1
#> 29    15.45      1  68        1         0
#> 89.1  11.44      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 66    22.13      1  53        0         0
#> 170   19.54      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 50.2  10.02      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 40.1  18.00      1  28        1         0
#> 8     18.43      1  32        0         0
#> 136   21.83      1  43        0         1
#> 183.2  9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 63    22.77      1  31        1         0
#> 56    12.21      1  60        0         0
#> 86.3  23.81      1  58        0         1
#> 70     7.38      1  30        1         0
#> 42    12.43      1  49        0         1
#> 61.1  10.12      1  36        0         1
#> 55.1  19.34      1  69        0         1
#> 37.1  12.52      1  57        1         0
#> 167.1 15.55      1  56        1         0
#> 36.2  21.19      1  48        0         1
#> 159.1 10.55      1  50        0         1
#> 76    19.22      1  54        0         1
#> 30    17.43      1  78        0         0
#> 22    24.00      0  52        1         0
#> 1     24.00      0  23        1         0
#> 144   24.00      0  28        0         1
#> 200   24.00      0  64        0         0
#> 87    24.00      0  27        0         0
#> 173   24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 186   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 196   24.00      0  19        0         0
#> 186.1 24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 12    24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 74    24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 118   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 200.1 24.00      0  64        0         0
#> 3     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 144.1 24.00      0  28        0         1
#> 174   24.00      0  49        1         0
#> 80    24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 27.1  24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 82.1  24.00      0  34        0         0
#> 20    24.00      0  46        1         0
#> 186.2 24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 12.2  24.00      0  63        0         0
#> 35.2  24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 19    24.00      0  57        0         1
#> 146.1 24.00      0  63        1         0
#> 200.2 24.00      0  64        0         0
#> 65    24.00      0  57        1         0
#> 12.3  24.00      0  63        0         0
#> 118.2 24.00      0  44        1         0
#> 35.3  24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 73.1  24.00      0  NA        0         1
#> 48.1  24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 160   24.00      0  31        1         0
#> 73.2  24.00      0  NA        0         1
#> 83    24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 87.1  24.00      0  27        0         0
#> 98.1  24.00      0  34        1         0
#> 74.1  24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 64.2  24.00      0  43        0         0
#> 173.1 24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 17    24.00      0  38        0         1
#> 67.1  24.00      0  25        0         0
#> 94.2  24.00      0  51        0         1
#> 27.2  24.00      0  63        1         0
#> 20.1  24.00      0  46        1         0
#> 160.1 24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 67.2  24.00      0  25        0         0
#> 20.2  24.00      0  46        1         0
#> 19.1  24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.28          NA        NA      NA
#> 2 age, Cure model           0.0240        NA        NA      NA
#> 3 grade_ii, Cure model      0.184         NA        NA      NA
#> 4 grade_iii, Cure model     0.904         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00660        NA        NA      NA
#> 2 grade_ii, Survival model   0.572          NA        NA      NA
#> 3 grade_iii, Survival model  0.212          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.28143           0.02405           0.18375           0.90373  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 246.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.28143339       0.02404753       0.18374711       0.90373168 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006601053      0.571517716      0.212276511 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.084312697 0.674046007 0.990217335 0.882213521 0.901976213 0.055181216
#>   [7] 0.142084626 0.842389254 0.644033640 0.394029249 0.583816039 0.693798168
#>  [13] 0.433707458 0.463453786 0.674046007 0.654072625 0.201768992 0.006439579
#>  [19] 0.473515932 0.483518247 0.812619227 0.414092553 0.693798168 0.654072625
#>  [25] 0.443561094 0.523387621 0.162485943 0.573671142 0.623991737 0.182001909
#>  [31] 0.265811976 0.265811976 0.503420807 0.065912759 0.822565001 0.633995526
#>  [37] 0.294606407 0.247123015 0.792891012 0.201768992 0.294606407 0.533509341
#>  [43] 0.941108786 0.733303335 0.024305208 0.980451920 0.713639446 0.324123111
#>  [49] 0.483518247 0.911872063 0.162485943 0.383674383 0.324123111 0.713639446
#>  [55] 0.733303335 0.065912759 0.247123015 0.503420807 0.753175320 0.191944358
#>  [61] 0.113247427 0.553640441 0.882213521 0.792891012 0.201768992 0.024305208
#>  [67] 0.024305208 0.872240831 0.201768992 0.960794982 0.593966489 0.533509341
#>  [73] 0.324123111 0.394029249 0.006439579 0.852374904 0.113247427 0.094025100
#>  [79] 0.613942593 0.553640441 0.132084908 0.314164935 0.941108786 0.911872063
#>  [85] 0.414092553 0.373398595 0.152261566 0.911872063 0.284838562 0.103832881
#>  [91] 0.782892175 0.024305208 0.970645981 0.772934928 0.852374904 0.324123111
#>  [97] 0.753175320 0.593966489 0.201768992 0.822565001 0.363176388 0.453463541
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    69    60   127   101   187   164   175    93    96    41    39   155   134 
#> 23.23 13.15  3.53  9.97  9.92 23.60 21.91 10.33 14.54 18.02 15.59 13.08 17.81 
#>    23  60.1    57    99    78   106   130    43    40 155.1  57.1   184    85 
#> 16.92 13.15 14.46 21.19 23.88 16.67 16.47 12.10 18.00 13.08 14.46 17.77 16.44 
#>   197     6    18   139    68  68.1   181   129   159   180   166    32    49 
#> 21.60 15.64 15.21 21.49 20.62 20.62 16.46 23.41 10.55 14.82 19.98 20.90 12.19 
#>    36 166.1    26    16   177    86    25   123    58 130.1   183 197.1    51 
#> 21.19 19.98 15.77  8.71 12.53 23.81  6.32 13.00 19.34 16.47  9.24 21.60 18.23 
#>    55 123.1 177.1 129.1  32.1 181.1    37   153   169   125 101.1  49.1  36.1 
#> 19.34 13.00 12.53 23.41 20.90 16.46 12.52 21.33 22.41 15.65  9.97 12.19 21.19 
#>  86.1  86.2   145  99.1   149   167  26.1  58.1  41.1  78.1    61 169.1    92 
#> 23.81 23.81 10.07 21.19  8.37 15.55 15.77 19.34 18.02 23.88 10.12 22.41 22.92 
#>    29 125.1    66   170  16.1 183.1  40.1     8   136 183.2   150    63    56 
#> 15.45 15.65 22.13 19.54  8.71  9.24 18.00 18.43 21.83  9.24 20.33 22.77 12.21 
#>  86.3    70    42  61.1  55.1  37.1 167.1  36.2 159.1    76    30    22     1 
#> 23.81  7.38 12.43 10.12 19.34 12.52 15.55 21.19 10.55 19.22 17.43 24.00 24.00 
#>   144   200    87   173   182   186    27    75   196 186.1    94    12   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    98    11    74   178    95    64   118   185   141 118.1 200.1     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121    35    82    48  12.1 144.1   174    80  35.1    47     7  27.1    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198  82.1    20 186.2   109  12.2  35.2   3.1  64.1    19 146.1 200.2    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.3 118.2  35.3    67  48.1     9   3.2  94.1   160    83   135  87.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1   143  64.2 173.1 193.1    33    44    17  67.1  94.2  27.2  20.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156  67.2  20.2  19.1   176 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003355093               0.189207693               0.123285876 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.99734623              0.02092983              0.10060029 
#>   grade_iii, Cure model 
#>              0.48638691 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 81    14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 6     15.64      1  39        0         0
#> 189   10.51      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 39    15.59      1  37        0         1
#> 166   19.98      1  48        0         0
#> 106   16.67      1  49        1         0
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 91     5.33      1  61        0         1
#> 85    16.44      1  36        0         0
#> 136   21.83      1  43        0         1
#> 58    19.34      1  39        0         0
#> 125   15.65      1  67        1         0
#> 139   21.49      1  63        1         0
#> 134   17.81      1  47        1         0
#> 26    15.77      1  49        0         1
#> 179   18.63      1  42        0         0
#> 127    3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 91.1   5.33      1  61        0         1
#> 149    8.37      1  33        1         0
#> 63    22.77      1  31        1         0
#> 32    20.90      1  37        1         0
#> 134.1 17.81      1  47        1         0
#> 99    21.19      1  38        0         1
#> 149.1  8.37      1  33        1         0
#> 183    9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 140   12.68      1  59        1         0
#> 145.1 10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 23    16.92      1  61        0         0
#> 45    17.42      1  54        0         1
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 97    19.14      1  65        0         1
#> 66    22.13      1  53        0         0
#> 93    10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 136.1 21.83      1  43        0         1
#> 68.1  20.62      1  44        0         0
#> 92.1  22.92      1  47        0         1
#> 107   11.18      1  54        1         0
#> 136.2 21.83      1  43        0         1
#> 88    18.37      1  47        0         0
#> 168   23.72      1  70        0         0
#> 97.1  19.14      1  65        0         1
#> 63.1  22.77      1  31        1         0
#> 45.1  17.42      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 184   17.77      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 5     16.43      1  51        0         1
#> 14    12.89      1  21        0         0
#> 133   14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 199.1 19.81      1  NA        0         1
#> 171.1 16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 16     8.71      1  71        0         1
#> 129   23.41      1  53        1         0
#> 181.1 16.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 111.1 17.45      1  47        0         1
#> 125.1 15.65      1  67        1         0
#> 177.1 12.53      1  75        0         0
#> 29.1  15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 134.2 17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 136.3 21.83      1  43        0         1
#> 157   15.10      1  47        0         0
#> 39.1  15.59      1  37        0         1
#> 14.1  12.89      1  21        0         0
#> 45.2  17.42      1  54        0         1
#> 68.2  20.62      1  44        0         0
#> 140.1 12.68      1  59        1         0
#> 133.1 14.65      1  57        0         0
#> 29.2  15.45      1  68        1         0
#> 111.2 17.45      1  47        0         1
#> 92.2  22.92      1  47        0         1
#> 155   13.08      1  26        0         0
#> 181.2 16.46      1  45        0         1
#> 66.1  22.13      1  53        0         0
#> 4.1   17.64      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 88.1  18.37      1  47        0         0
#> 155.1 13.08      1  26        0         0
#> 66.2  22.13      1  53        0         0
#> 93.1  10.33      1  52        0         1
#> 77     7.27      1  67        0         1
#> 188   16.16      1  46        0         1
#> 149.2  8.37      1  33        1         0
#> 134.3 17.81      1  47        1         0
#> 155.2 13.08      1  26        0         0
#> 66.3  22.13      1  53        0         0
#> 14.2  12.89      1  21        0         0
#> 139.1 21.49      1  63        1         0
#> 77.1   7.27      1  67        0         1
#> 181.3 16.46      1  45        0         1
#> 177.2 12.53      1  75        0         0
#> 134.4 17.81      1  47        1         0
#> 154   12.63      1  20        1         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 2     24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 82    24.00      0  34        0         0
#> 112   24.00      0  61        0         0
#> 47    24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 33    24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 22    24.00      0  52        1         0
#> 7.1   24.00      0  37        1         0
#> 54    24.00      0  53        1         0
#> 178   24.00      0  52        1         0
#> 146.1 24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 198   24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 74.1  24.00      0  43        0         1
#> 109.1 24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 28    24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 118   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 191.1 24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 146.2 24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 132   24.00      0  55        0         0
#> 65    24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 182   24.00      0  35        0         0
#> 54.1  24.00      0  53        1         0
#> 87    24.00      0  27        0         0
#> 148.1 24.00      0  61        1         0
#> 64.1  24.00      0  43        0         0
#> 122   24.00      0  66        0         0
#> 94.1  24.00      0  51        0         1
#> 83.1  24.00      0   6        0         0
#> 193   24.00      0  45        0         1
#> 84    24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 152   24.00      0  36        0         1
#> 64.2  24.00      0  43        0         0
#> 47.1  24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 1.1   24.00      0  23        1         0
#> 7.2   24.00      0  37        1         0
#> 48    24.00      0  31        1         0
#> 148.2 24.00      0  61        1         0
#> 198.1 24.00      0  66        0         1
#> 112.1 24.00      0  61        0         0
#> 72    24.00      0  40        0         1
#> 122.1 24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 94.2  24.00      0  51        0         1
#> 72.1  24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 182.1 24.00      0  35        0         0
#> 178.1 24.00      0  52        1         0
#> 2.1   24.00      0   9        0         0
#> 12.1  24.00      0  63        0         0
#> 98.1  24.00      0  34        1         0
#> 102   24.00      0  49        0         0
#> 126   24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 173.1 24.00      0  19        0         1
#> 191.2 24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.997         NA        NA      NA
#> 2 age, Cure model           0.0209        NA        NA      NA
#> 3 grade_ii, Cure model      0.101         NA        NA      NA
#> 4 grade_iii, Cure model     0.486         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00336        NA        NA      NA
#> 2 grade_ii, Survival model   0.189          NA        NA      NA
#> 3 grade_iii, Survival model  0.123          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.99735           0.02093           0.10060           0.48639  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 259.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.99734623       0.02092983       0.10060029       0.48638691 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003355093      0.189207693      0.123285876 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.75106581 0.30019014 0.67151886 0.69585565 0.67970011 0.34096849
#>   [7] 0.54542806 0.57146261 0.97833909 0.61332625 0.20226833 0.37150681
#>  [13] 0.65522845 0.24579377 0.43004507 0.64692546 0.40101293 0.99277588
#>  [19] 0.18946813 0.90482899 0.97833909 0.94198506 0.11532484 0.27863402
#>  [25] 0.43004507 0.26761966 0.94198506 0.92716866 0.82893930 0.80568730
#>  [31] 0.90482899 0.85182264 0.63021314 0.53658933 0.51041122 0.89729147
#>  [37] 0.07360750 0.38156775 0.14278815 0.88224494 0.58011060 0.20226833
#>  [43] 0.30019014 0.07360750 0.85949286 0.20226833 0.41081991 0.02307637
#>  [49] 0.38156775 0.11532484 0.51041122 0.91971708 0.47452223 0.85949286
#>  [55] 0.62178932 0.78235167 0.73533027 0.87464418 0.55420645 0.55420645
#>  [61] 0.48374681 0.93458964 0.05088119 0.58011060 0.28949052 0.48374681
#>  [67] 0.65522845 0.82893930 0.69585565 0.35122122 0.43004507 0.33066164
#>  [73] 0.20226833 0.71952346 0.67970011 0.78235167 0.51041122 0.30019014
#>  [79] 0.80568730 0.73533027 0.69585565 0.48374681 0.07360750 0.75896518
#>  [85] 0.58011060 0.14278815 0.36140767 0.71952346 0.41081991 0.75896518
#>  [91] 0.14278815 0.88224494 0.96381915 0.63858680 0.94198506 0.43004507
#>  [97] 0.75896518 0.14278815 0.78235167 0.24579377 0.96381915 0.58011060
#> [103] 0.82893930 0.43004507 0.82117837 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    81    68     6    29    39   166   106   130    91    85   136    58   125 
#> 14.06 20.62 15.64 15.45 15.59 19.98 16.67 16.47  5.33 16.44 21.83 19.34 15.65 
#>   139   134    26   179   127   175   145  91.1   149    63    32 134.1    99 
#> 21.49 17.81 15.77 18.63  3.53 21.91 10.07  5.33  8.37 22.77 20.90 17.81 21.19 
#> 149.1   183   177   140 145.1    43    79    23    45    61    92    97    66 
#>  8.37  9.24 12.53 12.68 10.07 12.10 16.23 16.92 17.42 10.12 22.92 19.14 22.13 
#>    93   181 136.1  68.1  92.1   107 136.2    88   168  97.1  63.1  45.1   187 
#> 10.33 16.46 21.83 20.62 22.92 11.18 21.83 18.37 23.72 19.14 22.77 17.42  9.92 
#>   184 107.1     5    14   133    10   171 171.1   111    16   129 181.1   190 
#> 17.77 11.18 16.43 12.89 14.65 10.53 16.57 16.57 17.45  8.71 23.41 16.46 20.81 
#> 111.1 125.1 177.1  29.1   105 134.2   158 136.3   157  39.1  14.1  45.2  68.2 
#> 17.45 15.65 12.53 15.45 19.75 17.81 20.14 21.83 15.10 15.59 12.89 17.42 20.62 
#> 140.1 133.1  29.2 111.2  92.2   155 181.2  66.1   170 157.1  88.1 155.1  66.2 
#> 12.68 14.65 15.45 17.45 22.92 13.08 16.46 22.13 19.54 15.10 18.37 13.08 22.13 
#>  93.1    77   188 149.2 134.3 155.2  66.3  14.2 139.1  77.1 181.3 177.2 134.4 
#> 10.33  7.27 16.16  8.37 17.81 13.08 22.13 12.89 21.49  7.27 16.46 12.53 17.81 
#>   154     7   173     2   109     9    35   146   151    82   112    47   191 
#> 12.63 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    67    31    22   7.1    54   178 146.1    12   104     1   198    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    19    74   148  74.1 109.1    80   156    38    94    28    11   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144 191.1   163 146.2   135   132    65    17   165   162    98   182  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87 148.1  64.1   122  94.1  83.1   193    84  82.1   152  64.2  47.1  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   7.2    48 148.2 198.1 112.1    72 122.1  38.1  94.2  72.1    44 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.1   2.1  12.1  98.1   102   126    21 173.1 191.2   131 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008552316               0.660286231               0.198011963 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.290840325             0.009103947            -0.138597711 
#>   grade_iii, Cure model 
#>             0.341322465 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 81    14.06      1  34        0         0
#> 105   19.75      1  60        0         0
#> 167   15.55      1  56        1         0
#> 97    19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 32    20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 85.1  16.44      1  36        0         0
#> 97.1  19.14      1  65        0         1
#> 181   16.46      1  45        0         1
#> 30    17.43      1  78        0         0
#> 175   21.91      1  43        0         0
#> 51    18.23      1  83        0         1
#> 187    9.92      1  39        1         0
#> 79    16.23      1  54        1         0
#> 36    21.19      1  48        0         1
#> 107   11.18      1  54        1         0
#> 14    12.89      1  21        0         0
#> 30.1  17.43      1  78        0         0
#> 159   10.55      1  50        0         1
#> 78    23.88      1  43        0         0
#> 88    18.37      1  47        0         0
#> 15    22.68      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 85.2  16.44      1  36        0         0
#> 179   18.63      1  42        0         0
#> 86    23.81      1  58        0         1
#> 179.1 18.63      1  42        0         0
#> 197.1 21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 30.2  17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 79.1  16.23      1  54        1         0
#> 32.1  20.90      1  37        1         0
#> 195   11.76      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 188   16.16      1  46        0         1
#> 164   23.60      1  76        0         1
#> 58    19.34      1  39        0         0
#> 129   23.41      1  53        1         0
#> 10    10.53      1  34        0         0
#> 155   13.08      1  26        0         0
#> 81.1  14.06      1  34        0         0
#> 168   23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 128   20.35      1  35        0         1
#> 6     15.64      1  39        0         0
#> 194.1 22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 36.1  21.19      1  48        0         1
#> 110   17.56      1  65        0         1
#> 29    15.45      1  68        1         0
#> 106   16.67      1  49        1         0
#> 155.1 13.08      1  26        0         0
#> 164.1 23.60      1  76        0         1
#> 158   20.14      1  74        1         0
#> 136   21.83      1  43        0         1
#> 39.1  15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 61    10.12      1  36        0         1
#> 154   12.63      1  20        1         0
#> 78.1  23.88      1  43        0         0
#> 8     18.43      1  32        0         0
#> 29.1  15.45      1  68        1         0
#> 177   12.53      1  75        0         0
#> 101    9.97      1  10        0         1
#> 99    21.19      1  38        0         1
#> 5     16.43      1  51        0         1
#> 40    18.00      1  28        1         0
#> 155.2 13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 92    22.92      1  47        0         1
#> 49.1  12.19      1  48        1         0
#> 170   19.54      1  43        0         1
#> 18    15.21      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 114   13.68      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 169   22.41      1  46        0         0
#> 100   16.07      1  60        0         0
#> 78.2  23.88      1  43        0         0
#> 70     7.38      1  30        1         0
#> 69.1  23.23      1  25        0         1
#> 123.1 13.00      1  44        1         0
#> 127.1  3.53      1  62        0         1
#> 171   16.57      1  41        0         1
#> 5.1   16.43      1  51        0         1
#> 39.2  15.59      1  37        0         1
#> 101.1  9.97      1  10        0         1
#> 127.2  3.53      1  62        0         1
#> 45    17.42      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 49.2  12.19      1  48        1         0
#> 136.1 21.83      1  43        0         1
#> 197.2 21.60      1  69        1         0
#> 8.2   18.43      1  32        0         0
#> 127.3  3.53      1  62        0         1
#> 91     5.33      1  61        0         1
#> 157   15.10      1  47        0         0
#> 86.1  23.81      1  58        0         1
#> 78.3  23.88      1  43        0         0
#> 154.1 12.63      1  20        1         0
#> 181.1 16.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 199.1 19.81      1  NA        0         1
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 82    24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 126   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 146   24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 115   24.00      0  NA        1         0
#> 3     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 161   24.00      0  45        0         0
#> 54    24.00      0  53        1         0
#> 196   24.00      0  19        0         0
#> 126.1 24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 143.2 24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 84    24.00      0  39        0         1
#> 94    24.00      0  51        0         1
#> 172.1 24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 94.1  24.00      0  51        0         1
#> 80.1  24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 193   24.00      0  45        0         1
#> 186.1 24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 115.1 24.00      0  NA        1         0
#> 74    24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 186.2 24.00      0  45        1         0
#> 17.1  24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 103.1 24.00      0  56        1         0
#> 7     24.00      0  37        1         0
#> 72.1  24.00      0  40        0         1
#> 162   24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 9     24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 173   24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 46.1  24.00      0  71        0         0
#> 74.1  24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 80.2  24.00      0  41        0         0
#> 20.1  24.00      0  46        1         0
#> 48    24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 95    24.00      0  68        0         1
#> 3.1   24.00      0  31        1         0
#> 116.2 24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 17.2  24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 163   24.00      0  66        0         0
#> 174.1 24.00      0  49        1         0
#> 53.1  24.00      0  32        0         1
#> 74.2  24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 186.3 24.00      0  45        1         0
#> 147.1 24.00      0  76        1         0
#> 74.3  24.00      0  43        0         1
#> 3.2   24.00      0  31        1         0
#> 94.2  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.291          NA        NA      NA
#> 2 age, Cure model          0.00910        NA        NA      NA
#> 3 grade_ii, Cure model    -0.139          NA        NA      NA
#> 4 grade_iii, Cure model    0.341          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00855        NA        NA      NA
#> 2 grade_ii, Survival model   0.660          NA        NA      NA
#> 3 grade_iii, Survival model  0.198          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.290840          0.009104         -0.138598          0.341322  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 261.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.290840325      0.009103947     -0.138597711      0.341322465 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008552316      0.660286231      0.198011963 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.583781842 0.470635526 0.157341695 0.917592085 0.688009422 0.251224848
#>   [7] 0.614831226 0.287130321 0.089499458 0.208127945 0.278048399 0.917592085
#>  [13] 0.470635526 0.287130321 0.450516709 0.390729978 0.131114714 0.361573400
#>  [19] 0.907209881 0.521631405 0.182436686 0.844765302 0.761738602 0.390729978
#>  [25] 0.855153685 0.004906709 0.351895492 0.097575554 0.470635526 0.305348401
#>  [31] 0.020802720 0.305348401 0.157341695 0.233702334 0.390729978 0.114409122
#>  [37] 0.521631405 0.208127945 0.666965176 0.542085554 0.040995009 0.269034767
#>  [43] 0.056974997 0.865568025 0.709067160 0.688009422 0.033290071 0.958833700
#>  [49] 0.225046036 0.573306427 0.114409122 0.803592658 0.182436686 0.381006045
#>  [55] 0.625324576 0.430356371 0.709067160 0.040995009 0.242467973 0.139930862
#>  [61] 0.583781842 0.740697086 0.876014078 0.772357315 0.004906709 0.323900735
#>  [67] 0.625324576 0.793091490 0.886473109 0.182436686 0.500999787 0.371356214
#>  [73] 0.709067160 0.562885022 0.081054878 0.803592658 0.260105998 0.646078686
#>  [79] 0.677480698 0.065332247 0.105883433 0.552445996 0.004906709 0.938196760
#>  [85] 0.065332247 0.740697086 0.958833700 0.440420207 0.500999787 0.583781842
#>  [91] 0.886473109 0.958833700 0.420227935 0.323900735 0.803592658 0.139930862
#>  [97] 0.157341695 0.323900735 0.958833700 0.948499710 0.656494437 0.020802720
#> [103] 0.004906709 0.772357315 0.450516709 0.834348800 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    39    85   197   183    81   105   167    97    63    32    76 183.1  85.1 
#> 15.59 16.44 21.60  9.24 14.06 19.75 15.55 19.14 22.77 20.90 19.22  9.24 16.44 
#>  97.1   181    30   175    51   187    79    36   107    14  30.1   159    78 
#> 19.14 16.46 17.43 21.91 18.23  9.92 16.23 21.19 11.18 12.89 17.43 10.55 23.88 
#>    88    15  85.2   179    86 179.1 197.1   150  30.2   194  79.1  32.1   180 
#> 18.37 22.68 16.44 18.63 23.81 18.63 21.60 20.33 17.43 22.40 16.23 20.90 14.82 
#>   188   164    58   129    10   155  81.1   168   127   128     6 194.1    49 
#> 16.16 23.60 19.34 23.41 10.53 13.08 14.06 23.72  3.53 20.35 15.64 22.40 12.19 
#>  36.1   110    29   106 155.1 164.1   158   136  39.1   123    61   154  78.1 
#> 21.19 17.56 15.45 16.67 13.08 23.60 20.14 21.83 15.59 13.00 10.12 12.63 23.88 
#>     8  29.1   177   101    99     5    40 155.2   125    92  49.1   170    18 
#> 18.43 15.45 12.53  9.97 21.19 16.43 18.00 13.08 15.65 22.92 12.19 19.54 15.21 
#>    96    69   169   100  78.2    70  69.1 123.1 127.1   171   5.1  39.2 101.1 
#> 14.54 23.23 22.41 16.07 23.88  7.38 23.23 13.00  3.53 16.57 16.43 15.59  9.97 
#> 127.2    45   8.1  49.2 136.1 197.2   8.2 127.3    91   157  86.1  78.3 154.1 
#>  3.53 17.42 18.43 12.19 21.83 21.60 18.43  3.53  5.33 15.10 23.81 23.88 12.63 
#> 181.1    43    53   191    82   143    44   126    64    71 143.1   103   146 
#> 16.46 12.10 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118     2   172     3    21     1   161    54   196 126.1   131 143.2    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    33   147   186    72    84    94 172.1    17    22    38    80    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1  80.1   148   193 186.1    75    74   119 186.2  17.1   182    47   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1     7  72.1   162   198     9   1.1   173    20  46.1  74.1   200    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174  80.2  20.1    48 116.1    95   3.1 116.2   120    67  17.2  12.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1  53.1  74.2   141    34 186.3 147.1  74.3   3.2  94.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003941422               0.100580834               0.249660458 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.329755267             0.001358785             0.165656520 
#>   grade_iii, Cure model 
#>             1.001553117 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 149    8.37      1  33        1         0
#> 113   22.86      1  34        0         0
#> 56    12.21      1  60        0         0
#> 101    9.97      1  10        0         1
#> 190   20.81      1  42        1         0
#> 14    12.89      1  21        0         0
#> 42    12.43      1  49        0         1
#> 56.1  12.21      1  60        0         0
#> 76    19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 49    12.19      1  48        1         0
#> 155   13.08      1  26        0         0
#> 153   21.33      1  55        1         0
#> 129   23.41      1  53        1         0
#> 110   17.56      1  65        0         1
#> 192   16.44      1  31        1         0
#> 130   16.47      1  53        0         1
#> 85    16.44      1  36        0         0
#> 89    11.44      1  NA        0         0
#> 192.1 16.44      1  31        1         0
#> 192.2 16.44      1  31        1         0
#> 76.1  19.22      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 110.1 17.56      1  65        0         1
#> 177   12.53      1  75        0         0
#> 59    10.16      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 180   14.82      1  37        0         0
#> 30    17.43      1  78        0         0
#> 188   16.16      1  46        0         1
#> 93    10.33      1  52        0         1
#> 101.1  9.97      1  10        0         1
#> 16     8.71      1  71        0         1
#> 139   21.49      1  63        1         0
#> 170   19.54      1  43        0         1
#> 169   22.41      1  46        0         0
#> 42.1  12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 194   22.40      1  38        0         1
#> 52    10.42      1  52        0         1
#> 179   18.63      1  42        0         0
#> 197   21.60      1  69        1         0
#> 184   17.77      1  38        0         0
#> 63    22.77      1  31        1         0
#> 57    14.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 93.1  10.33      1  52        0         1
#> 32    20.90      1  37        1         0
#> 181   16.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 49.1  12.19      1  48        1         0
#> 108   18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 90    20.94      1  50        0         1
#> 85.2  16.44      1  36        0         0
#> 194.1 22.40      1  38        0         1
#> 189   10.51      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 136   21.83      1  43        0         1
#> 88    18.37      1  47        0         0
#> 189.1 10.51      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 197.1 21.60      1  69        1         0
#> 57.1  14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 13    14.34      1  54        0         1
#> 105   19.75      1  60        0         0
#> 183    9.24      1  67        1         0
#> 42.2  12.43      1  49        0         1
#> 93.2  10.33      1  52        0         1
#> 159   10.55      1  50        0         1
#> 30.1  17.43      1  78        0         0
#> 130.1 16.47      1  53        0         1
#> 79.1  16.23      1  54        1         0
#> 93.3  10.33      1  52        0         1
#> 99    21.19      1  38        0         1
#> 14.1  12.89      1  21        0         0
#> 110.2 17.56      1  65        0         1
#> 183.1  9.24      1  67        1         0
#> 166   19.98      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 195.1 11.76      1  NA        1         0
#> 42.3  12.43      1  49        0         1
#> 60    13.15      1  38        1         0
#> 188.1 16.16      1  46        0         1
#> 189.2 10.51      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 66    22.13      1  53        0         0
#> 101.2  9.97      1  10        0         1
#> 90.1  20.94      1  50        0         1
#> 183.2  9.24      1  67        1         0
#> 29    15.45      1  68        1         0
#> 49.2  12.19      1  48        1         0
#> 23    16.92      1  61        0         0
#> 60.1  13.15      1  38        1         0
#> 32.1  20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 99.1  21.19      1  38        0         1
#> 63.1  22.77      1  31        1         0
#> 24    23.89      1  38        0         0
#> 90.2  20.94      1  50        0         1
#> 101.3  9.97      1  10        0         1
#> 128.2 20.35      1  35        0         1
#> 61    10.12      1  36        0         1
#> 43    12.10      1  61        0         1
#> 77     7.27      1  67        0         1
#> 18    15.21      1  49        1         0
#> 99.2  21.19      1  38        0         1
#> 165   24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 131   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 143   24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 161   24.00      0  45        0         0
#> 17.1  24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 19    24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 161.1 24.00      0  45        0         0
#> 27.1  24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 160   24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 121.1 24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 2     24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 172.1 24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 122   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 152.1 24.00      0  36        0         1
#> 135   24.00      0  58        1         0
#> 27.2  24.00      0  63        1         0
#> 27.3  24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 12.1  24.00      0  63        0         0
#> 95    24.00      0  68        0         1
#> 22.1  24.00      0  52        1         0
#> 12.2  24.00      0  63        0         0
#> 53.1  24.00      0  32        0         1
#> 138   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 98.2  24.00      0  34        1         0
#> 142   24.00      0  53        0         0
#> 160.1 24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 84.1  24.00      0  39        0         1
#> 102.1 24.00      0  49        0         0
#> 193   24.00      0  45        0         1
#> 84.2  24.00      0  39        0         1
#> 147.1 24.00      0  76        1         0
#> 178   24.00      0  52        1         0
#> 94.1  24.00      0  51        0         1
#> 84.3  24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 17.2  24.00      0  38        0         1
#> 122.1 24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 62    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 174.1 24.00      0  49        1         0
#> 53.2  24.00      0  32        0         1
#> 122.2 24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 94.2  24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 22.3  24.00      0  52        1         0
#> 196.1 24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 83    24.00      0   6        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.330          NA        NA      NA
#> 2 age, Cure model          0.00136        NA        NA      NA
#> 3 grade_ii, Cure model     0.166          NA        NA      NA
#> 4 grade_iii, Cure model    1.00           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00394        NA        NA      NA
#> 2 grade_ii, Survival model   0.101          NA        NA      NA
#> 3 grade_iii, Survival model  0.250          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.329755          0.001359          0.165657          1.001553  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 253 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.329755267      0.001358785      0.165656520      1.001553117 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003941422      0.100580834      0.249660458 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.98626008 0.08991711 0.82270762 0.93101467 0.35319256 0.77012537
#>   [7] 0.79310577 0.82270762 0.44384456 0.39393058 0.04924553 0.83757214
#>  [13] 0.76241746 0.25308676 0.07061196 0.51818784 0.60392350 0.57872912
#>  [19] 0.60392350 0.60392350 0.60392350 0.44384456 0.60392350 0.51818784
#>  [25] 0.78543774 0.36391606 0.71585797 0.55296662 0.66802574 0.88154057
#>  [31] 0.93101467 0.97936166 0.24013348 0.42418979 0.14051540 0.79310577
#>  [37] 0.68403523 0.15706986 0.87425338 0.47202706 0.21436182 0.50905255
#>  [43] 0.10866263 0.72376072 0.46265235 0.88154057 0.33187693 0.59552767
#>  [49] 0.54422319 0.83757214 0.49067296 0.91692037 0.29985837 0.60392350
#>  [55] 0.15706986 0.43409333 0.20027704 0.48136838 0.65180689 0.21436182
#>  [61] 0.72376072 0.49989070 0.73930015 0.41416440 0.95871103 0.79310577
#>  [67] 0.88154057 0.86693107 0.55296662 0.57872912 0.65180689 0.88154057
#>  [73] 0.26579726 0.77012537 0.51818784 0.95871103 0.40407386 0.36391606
#>  [79] 0.79310577 0.74706291 0.66802574 0.91692037 0.18565762 0.93101467
#>  [85] 0.29985837 0.95871103 0.69204164 0.83757214 0.57012159 0.74706291
#>  [91] 0.33187693 0.70794151 0.26579726 0.10866263 0.02082004 0.29985837
#>  [97] 0.93101467 0.36391606 0.90979881 0.85957377 0.99314599 0.70000699
#> [103] 0.26579726 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   149   113    56   101   190    14    42  56.1    76   158    86    49   155 
#>  8.37 22.86 12.21  9.97 20.81 12.89 12.43 12.21 19.22 20.14 23.81 12.19 13.08 
#>   153   129   110   192   130    85 192.1 192.2  76.1  85.1 110.1   177   128 
#> 21.33 23.41 17.56 16.44 16.47 16.44 16.44 16.44 19.22 16.44 17.56 12.53 20.35 
#>   180    30   188    93 101.1    16   139   170   169  42.1    39   194    52 
#> 14.82 17.43 16.16 10.33  9.97  8.71 21.49 19.54 22.41 12.43 15.59 22.40 10.42 
#>   179   197   184    63    57    97  93.1    32   181   111  49.1   108   145 
#> 18.63 21.60 17.77 22.77 14.46 19.14 10.33 20.90 16.46 17.45 12.19 18.29 10.07 
#>    90  85.2 194.1    55   136    88    79 197.1  57.1   134    13   105   183 
#> 20.94 16.44 22.40 19.34 21.83 18.37 16.23 21.60 14.46 17.81 14.34 19.75  9.24 
#>  42.2  93.2   159  30.1 130.1  79.1  93.3    99  14.1 110.2 183.1   166 128.1 
#> 12.43 10.33 10.55 17.43 16.47 16.23 10.33 21.19 12.89 17.56  9.24 19.98 20.35 
#>  42.3    60 188.1 145.1    66 101.2  90.1 183.2    29  49.2    23  60.1  32.1 
#> 12.43 13.15 16.16 10.07 22.13  9.97 20.94  9.24 15.45 12.19 16.92 13.15 20.90 
#>   157  99.1  63.1    24  90.2 101.3 128.2    61    43    77    18  99.2   165 
#> 15.10 21.19 22.77 23.89 20.94  9.97 20.35 10.12 12.10  7.27 15.21 21.19 24.00 
#>    94   131    20   152    31    98   143    17     3   102   161  17.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172    21   121  98.1    19    27    22   119  20.1 161.1  27.1   182   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12 121.1    28     2    53 172.1   196   122    84 152.1   135  27.2  27.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116  12.1    95  22.1  12.2  53.1   138   147     9   198  98.2   142 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1  84.1 102.1   193  84.2 147.1   178  94.1  84.3   174   109   148    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185  17.2 122.1    74    33    44    62   146 174.1  53.2 122.2  22.2  94.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   126 143.1  95.1  22.3 196.1    72    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00911871                1.05569532                0.54574840 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.947366026             0.029453765            -0.867944793 
#>   grade_iii, Cure model 
#>             0.005277698 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 179   18.63      1  42        0         0
#> 52    10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 8     18.43      1  32        0         0
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 180   14.82      1  37        0         0
#> 167   15.55      1  56        1         0
#> 195   11.76      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 93    10.33      1  52        0         1
#> 18    15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 168   23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 37    12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 36    21.19      1  48        0         1
#> 145   10.07      1  65        1         0
#> 76    19.22      1  54        0         1
#> 130   16.47      1  53        0         1
#> 86    23.81      1  58        0         1
#> 169   22.41      1  46        0         0
#> 29    15.45      1  68        1         0
#> 42    12.43      1  49        0         1
#> 14.1  12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 66    22.13      1  53        0         0
#> 171   16.57      1  41        0         1
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 166   19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 179.1 18.63      1  42        0         0
#> 187.1  9.92      1  39        1         0
#> 58    19.34      1  39        0         0
#> 195.1 11.76      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 77     7.27      1  67        0         1
#> 169.1 22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 175   21.91      1  43        0         0
#> 37.1  12.52      1  57        1         0
#> 42.1  12.43      1  49        0         1
#> 136   21.83      1  43        0         1
#> 15    22.68      1  48        0         0
#> 105.1 19.75      1  60        0         0
#> 39    15.59      1  37        0         1
#> 194   22.40      1  38        0         1
#> 110   17.56      1  65        0         1
#> 139.1 21.49      1  63        1         0
#> 179.2 18.63      1  42        0         0
#> 26.1  15.77      1  49        0         1
#> 91     5.33      1  61        0         1
#> 49    12.19      1  48        1         0
#> 88    18.37      1  47        0         0
#> 29.2  15.45      1  68        1         0
#> 114   13.68      1  NA        0         0
#> 58.1  19.34      1  39        0         0
#> 133   14.65      1  57        0         0
#> 100   16.07      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 23    16.92      1  61        0         0
#> 37.2  12.52      1  57        1         0
#> 42.2  12.43      1  49        0         1
#> 188   16.16      1  46        0         1
#> 133.1 14.65      1  57        0         0
#> 55    19.34      1  69        0         1
#> 85    16.44      1  36        0         0
#> 194.1 22.40      1  38        0         1
#> 85.1  16.44      1  36        0         0
#> 52.1  10.42      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 190   20.81      1  42        1         0
#> 158   20.14      1  74        1         0
#> 14.2  12.89      1  21        0         0
#> 55.1  19.34      1  69        0         1
#> 49.1  12.19      1  48        1         0
#> 39.1  15.59      1  37        0         1
#> 93.1  10.33      1  52        0         1
#> 157   15.10      1  47        0         0
#> 15.1  22.68      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 37.3  12.52      1  57        1         0
#> 55.2  19.34      1  69        0         1
#> 41    18.02      1  40        1         0
#> 180.1 14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 8.1   18.43      1  32        0         0
#> 99    21.19      1  38        0         1
#> 66.1  22.13      1  53        0         0
#> 49.2  12.19      1  48        1         0
#> 50    10.02      1  NA        1         0
#> 66.2  22.13      1  53        0         0
#> 89    11.44      1  NA        0         0
#> 5.1   16.43      1  51        0         1
#> 171.1 16.57      1  41        0         1
#> 100.1 16.07      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 85.2  16.44      1  36        0         0
#> 108   18.29      1  39        0         1
#> 184   17.77      1  38        0         0
#> 127    3.53      1  62        0         1
#> 133.2 14.65      1  57        0         0
#> 127.1  3.53      1  62        0         1
#> 166.1 19.98      1  48        0         0
#> 169.2 22.41      1  46        0         0
#> 184.1 17.77      1  38        0         0
#> 24    23.89      1  38        0         0
#> 75    24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 98    24.00      0  34        1         0
#> 137   24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 75.1  24.00      0  21        1         0
#> 53    24.00      0  32        0         1
#> 193.1 24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 98.1  24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 31    24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 87    24.00      0  27        0         0
#> 47.1  24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 71.1  24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 126.1 24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 74.1  24.00      0  43        0         1
#> 146.2 24.00      0  63        1         0
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 178.1 24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 144   24.00      0  28        0         1
#> 143   24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 143.1 24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 83.1  24.00      0   6        0         0
#> 137.1 24.00      0  45        1         0
#> 186   24.00      0  45        1         0
#> 109.2 24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 173   24.00      0  19        0         1
#> 191   24.00      0  60        0         1
#> 67    24.00      0  25        0         0
#> 34.1  24.00      0  36        0         0
#> 144.1 24.00      0  28        0         1
#> 160   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 65.2  24.00      0  57        1         0
#> 65.3  24.00      0  57        1         0
#> 141.1 24.00      0  44        1         0
#> 103   24.00      0  56        1         0
#> 185   24.00      0  44        1         0
#> 53.1  24.00      0  32        0         1
#> 21    24.00      0  47        0         0
#> 17.1  24.00      0  38        0         1
#> 53.2  24.00      0  32        0         1
#> 22    24.00      0  52        1         0
#> 162.1 24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 147.1 24.00      0  76        1         0
#> 148.2 24.00      0  61        1         0
#> 196.1 24.00      0  19        0         0
#> 12    24.00      0  63        0         0
#> 200   24.00      0  64        0         0
#> 122   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 152   24.00      0  36        0         1
#> 47.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.947          NA        NA      NA
#> 2 age, Cure model          0.0295         NA        NA      NA
#> 3 grade_ii, Cure model    -0.868          NA        NA      NA
#> 4 grade_iii, Cure model    0.00528        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00912        NA        NA      NA
#> 2 grade_ii, Survival model   1.06           NA        NA      NA
#> 3 grade_iii, Survival model  0.546          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.947366          0.029454         -0.867945          0.005278  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.947366026      0.029453765     -0.867944793      0.005277698 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00911871       1.05569532       0.54574840 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.601351597 0.300238182 0.882052527 0.748361628 0.330066180 0.006136544
#>   [7] 0.758300309 0.699682936 0.641599177 0.472437669 0.900594812 0.680389213
#>  [13] 0.581353449 0.019185277 0.140179778 0.787927762 0.937405854 0.159406689
#>  [19] 0.919108829 0.290273628 0.462245329 0.012647254 0.043367930 0.651588914
#>  [25] 0.825842733 0.758300309 0.187464600 0.088762920 0.442057035 0.492478575
#>  [31] 0.381733200 0.206005128 0.300238182 0.937405854 0.243674610 0.651588914
#>  [37] 0.224506784 0.955347833 0.043367930 0.964366715 0.118174533 0.787927762
#>  [43] 0.825842733 0.129254593 0.026995660 0.224506784 0.621550817 0.070405921
#>  [49] 0.411597985 0.140179778 0.300238182 0.581353449 0.973293115 0.854342817
#>  [55] 0.350581737 0.651588914 0.243674610 0.719042229 0.561283583 0.919108829
#>  [61] 0.421694538 0.787927762 0.825842733 0.551308999 0.719042229 0.243674610
#>  [67] 0.492478575 0.070405921 0.492478575 0.882052527 0.601351597 0.178256435
#>  [73] 0.196836000 0.758300309 0.243674610 0.854342817 0.621550817 0.900594812
#>  [79] 0.690012568 0.026995660 0.472437669 0.787927762 0.243674610 0.371560645
#>  [85] 0.699682936 0.531492488 0.330066180 0.159406689 0.088762920 0.854342817
#>  [91] 0.088762920 0.531492488 0.442057035 0.561283583 0.421694538 0.492478575
#>  [97] 0.361103079 0.391674715 0.982220371 0.719042229 0.982220371 0.206005128
#> [103] 0.043367930 0.391674715 0.001492029 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>     6   179    52    81     8    78    14   180   167   181    93    18    26 
#> 15.64 18.63 10.42 14.06 18.43 23.88 12.89 14.82 15.55 16.46 10.33 15.21 15.77 
#>   168   139    37   187    36   145    76   130    86   169    29    42  14.1 
#> 23.72 21.49 12.52  9.92 21.19 10.07 19.22 16.47 23.81 22.41 15.45 12.43 12.89 
#>   150    66   171   192   134   166 179.1 187.1    58  29.1   105    77 169.1 
#> 20.33 22.13 16.57 16.44 17.81 19.98 18.63  9.92 19.34 15.45 19.75  7.27 22.41 
#>    25   175  37.1  42.1   136    15 105.1    39   194   110 139.1 179.2  26.1 
#>  6.32 21.91 12.52 12.43 21.83 22.68 19.75 15.59 22.40 17.56 21.49 18.63 15.77 
#>    91    49    88  29.2  58.1   133   100 145.1    23  37.2  42.2   188 133.1 
#>  5.33 12.19 18.37 15.45 19.34 14.65 16.07 10.07 16.92 12.52 12.43 16.16 14.65 
#>    55    85 194.1  85.1  52.1   6.1   190   158  14.2  55.1  49.1  39.1  93.1 
#> 19.34 16.44 22.40 16.44 10.42 15.64 20.81 20.14 12.89 19.34 12.19 15.59 10.33 
#>   157  15.1 181.1  37.3  55.2    41 180.1     5   8.1    99  66.1  49.2  66.2 
#> 15.10 22.68 16.46 12.52 19.34 18.02 14.82 16.43 18.43 21.19 22.13 12.19 22.13 
#>   5.1 171.1 100.1  23.1  85.2   108   184   127 133.2 127.1 166.1 169.2 184.1 
#> 16.43 16.57 16.07 16.92 16.44 18.29 17.77  3.53 14.65  3.53 19.98 22.41 17.77 
#>    24    75    34    98   137   193  75.1    53 193.1   176   126   178   146 
#> 23.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47  98.1    20    31    94    87  47.1   120    74    71   163    83  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    48     9 146.1    35 176.1    17    44 126.1    65   109   9.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148  74.1 146.2   196    64 178.1    54   131   142 109.1   147   144   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172 143.1  65.1  83.1 137.1   186 109.2   141 148.1   173   191    67  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1   160   162  65.2  65.3 141.1   103   185  53.1    21  17.1  53.2    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1    80 147.1 148.2 196.1    12   200   122     1   152  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01773492                0.29502692                0.19600476 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.178781433            -0.003308271            -0.020141721 
#>   grade_iii, Cure model 
#>             0.550863778 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 15    22.68      1  48        0         0
#> 175   21.91      1  43        0         0
#> 40    18.00      1  28        1         0
#> 69    23.23      1  25        0         1
#> 184   17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 99    21.19      1  38        0         1
#> 101    9.97      1  10        0         1
#> 92    22.92      1  47        0         1
#> 92.1  22.92      1  47        0         1
#> 18    15.21      1  49        1         0
#> 69.1  23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 139   21.49      1  63        1         0
#> 96.1  14.54      1  33        0         1
#> 170   19.54      1  43        0         1
#> 139.1 21.49      1  63        1         0
#> 5     16.43      1  51        0         1
#> 100   16.07      1  60        0         0
#> 180   14.82      1  37        0         0
#> 43    12.10      1  61        0         1
#> 91     5.33      1  61        0         1
#> 69.2  23.23      1  25        0         1
#> 51    18.23      1  83        0         1
#> 37.1  12.52      1  57        1         0
#> 159   10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 78    23.88      1  43        0         0
#> 190   20.81      1  42        1         0
#> 81    14.06      1  34        0         0
#> 140   12.68      1  59        1         0
#> 6     15.64      1  39        0         0
#> 4.1   17.64      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 110   17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 140.1 12.68      1  59        1         0
#> 100.1 16.07      1  60        0         0
#> 100.2 16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 10    10.53      1  34        0         0
#> 159.1 10.55      1  50        0         1
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 77     7.27      1  67        0         1
#> 76    19.22      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 70     7.38      1  30        1         0
#> 41    18.02      1  40        1         0
#> 100.3 16.07      1  60        0         0
#> 128   20.35      1  35        0         1
#> 183    9.24      1  67        1         0
#> 140.2 12.68      1  59        1         0
#> 155.1 13.08      1  26        0         0
#> 133   14.65      1  57        0         0
#> 190.1 20.81      1  42        1         0
#> 136.1 21.83      1  43        0         1
#> 90.1  20.94      1  50        0         1
#> 180.1 14.82      1  37        0         0
#> 4.2   17.64      1  NA        0         1
#> 66    22.13      1  53        0         0
#> 59    10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 55    19.34      1  69        0         1
#> 134.1 17.81      1  47        1         0
#> 36    21.19      1  48        0         1
#> 81.1  14.06      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 139.2 21.49      1  63        1         0
#> 32    20.90      1  37        1         0
#> 130.1 16.47      1  53        0         1
#> 190.2 20.81      1  42        1         0
#> 150   20.33      1  48        0         0
#> 63    22.77      1  31        1         0
#> 175.1 21.91      1  43        0         0
#> 24.1  23.89      1  38        0         0
#> 125   15.65      1  67        1         0
#> 166   19.98      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 41.1  18.02      1  40        1         0
#> 190.3 20.81      1  42        1         0
#> 124    9.73      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 93    10.33      1  52        0         1
#> 37.2  12.52      1  57        1         0
#> 166.1 19.98      1  48        0         0
#> 79    16.23      1  54        1         0
#> 155.2 13.08      1  26        0         0
#> 78.1  23.88      1  43        0         0
#> 90.2  20.94      1  50        0         1
#> 127    3.53      1  62        0         1
#> 37.3  12.52      1  57        1         0
#> 91.1   5.33      1  61        0         1
#> 14    12.89      1  21        0         0
#> 127.1  3.53      1  62        0         1
#> 101.1  9.97      1  10        0         1
#> 134.2 17.81      1  47        1         0
#> 26    15.77      1  49        0         1
#> 76.1  19.22      1  54        0         1
#> 184.1 17.77      1  38        0         0
#> 40.1  18.00      1  28        1         0
#> 96.2  14.54      1  33        0         1
#> 153   21.33      1  55        1         0
#> 79.1  16.23      1  54        1         0
#> 25     6.32      1  34        1         0
#> 62    24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 142   24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 138   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 138.1 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 72    24.00      0  40        0         1
#> 20    24.00      0  46        1         0
#> 173   24.00      0  19        0         1
#> 126.1 24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 22.1  24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 22.2  24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 83    24.00      0   6        0         0
#> 75    24.00      0  21        1         0
#> 74    24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 21.1  24.00      0  47        0         0
#> 165.2 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 148.1 24.00      0  61        1         0
#> 103.1 24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 87    24.00      0  27        0         0
#> 7     24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 103.2 24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 121   24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 46.2  24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 198   24.00      0  66        0         1
#> 182.1 24.00      0  35        0         0
#> 46.3  24.00      0  71        0         0
#> 75.1  24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 112.1 24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 176.1 24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 116.1 24.00      0  58        0         1
#> 22.3  24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 137.1 24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 87.1  24.00      0  27        0         0
#> 44.1  24.00      0  56        0         0
#> 19.1  24.00      0  57        0         1
#> 185   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 71.2  24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 198.1 24.00      0  66        0         1
#> 94.2  24.00      0  51        0         1
#> 84    24.00      0  39        0         1
#> 172.1 24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.179          NA        NA      NA
#> 2 age, Cure model         -0.00331        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0201         NA        NA      NA
#> 4 grade_iii, Cure model    0.551          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0177        NA        NA      NA
#> 2 grade_ii, Survival model    0.295         NA        NA      NA
#> 3 grade_iii, Survival model   0.196         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.178781         -0.003308         -0.020142          0.550864  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 264 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.178781433     -0.003308271     -0.020141721      0.550863778 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01773492       0.29502692       0.19600476 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.5667030 0.9236825 0.4138458 0.4477733 0.7343423 0.2875012 0.7629282
#>   [8] 0.7031308 0.8738409 0.5472794 0.9613403 0.3567709 0.3567709 0.8563774
#>  [15] 0.2875012 0.5047049 0.8738409 0.6624418 0.5047049 0.8002694 0.8199548
#>  [22] 0.8607895 0.9427720 0.9863926 0.2875012 0.7160963 0.9236825 0.9465455
#>  [29] 0.7900582 0.2253529 0.6016557 0.8865511 0.9116653 0.8474750 0.7461364
#>  [36] 0.7740073 0.9389590 0.9116653 0.8199548 0.8199548 0.6696808 0.8949781
#>  [43] 0.1353636 0.7847916 0.9539623 0.9465455 0.4775995 0.7794552 0.9758629
#>  [50] 0.6900470 0.9722650 0.7223151 0.8199548 0.6324601 0.9686499 0.9116653
#>  [57] 0.8949781 0.8695085 0.6016557 0.4775995 0.5667030 0.8607895 0.4313293
#>  [64] 0.8151029 0.6696808 0.7461364 0.5472794 0.8865511 0.6696808 0.8474750
#>  [71] 0.5047049 0.5929732 0.7900582 0.6016557 0.6401850 0.3953113 0.4477733
#>  [78] 0.1353636 0.8429647 0.6477866 0.9758629 0.7223151 0.6016557 0.7096362
#>  [85] 0.9576659 0.9236825 0.6477866 0.8053265 0.8949781 0.2253529 0.5667030
#>  [92] 0.9932581 0.9236825 0.9863926 0.9074856 0.9932581 0.9613403 0.7461364
#>  [99] 0.8383707 0.6900470 0.7629282 0.7343423 0.8738409 0.5368772 0.8053265
#> [106] 0.9828907 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    90    37    15   175    40    69   184   179    96    99   101    92  92.1 
#> 20.94 12.52 22.68 21.91 18.00 23.23 17.77 18.63 14.54 21.19  9.97 22.92 22.92 
#>    18  69.1   139  96.1   170 139.1     5   100   180    43    91  69.2    51 
#> 15.21 23.23 21.49 14.54 19.54 21.49 16.43 16.07 14.82 12.10  5.33 23.23 18.23 
#>  37.1   159   130    78   190    81   140     6   134   110    56 140.1 100.1 
#> 12.52 10.55 16.47 23.88 20.81 14.06 12.68 15.64 17.81 17.56 12.21 12.68 16.07 
#> 100.2    58   155    24    23    10 159.1   136    30    77    76    70    41 
#> 16.07 19.34 13.08 23.89 16.92 10.53 10.55 21.83 17.43  7.27 19.22  7.38 18.02 
#> 100.3   128   183 140.2 155.1   133 190.1 136.1  90.1 180.1    66   188    55 
#> 16.07 20.35  9.24 12.68 13.08 14.65 20.81 21.83 20.94 14.82 22.13 16.16 19.34 
#> 134.1    36  81.1  58.1   6.1 139.2    32 130.1 190.2   150    63 175.1  24.1 
#> 17.81 21.19 14.06 19.34 15.64 21.49 20.90 16.47 20.81 20.33 22.77 21.91 23.89 
#>   125   166  77.1  41.1 190.3     8    93  37.2 166.1    79 155.2  78.1  90.2 
#> 15.65 19.98  7.27 18.02 20.81 18.43 10.33 12.52 19.98 16.23 13.08 23.88 20.94 
#>   127  37.3  91.1    14 127.1 101.1 134.2    26  76.1 184.1  40.1  96.2   153 
#>  3.53 12.52  5.33 12.89  3.53  9.97 17.81 15.77 19.22 17.77 18.00 14.54 21.33 
#>  79.1    25    62   165   126    65   151   161   142     3    47    21    94 
#> 16.23  6.32 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   112    46   148 138.1  46.1   103    72    20   173 126.1    22 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1   143   137   182    80  22.2    54    83    75    74 165.1   172   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1 165.2   191 148.1 103.1    82    87     7    71    19 103.2    38     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  71.1  80.1    48   119  46.2    27   104   198 182.1  46.3  75.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116 112.1    33 176.1    44 116.1  22.3   146   120 137.1  27.1  87.1  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   185    53  71.2  94.1 198.1  94.2    84 172.1     9  47.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01141556                0.98295095                0.39565500 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.210677637             0.002515566            -0.272056552 
#>   grade_iii, Cure model 
#>             1.151558101 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 188   16.16      1  46        0         1
#> 59    10.16      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 61.1  10.12      1  36        0         1
#> 101    9.97      1  10        0         1
#> 153   21.33      1  55        1         0
#> 61.2  10.12      1  36        0         1
#> 111   17.45      1  47        0         1
#> 96.1  14.54      1  33        0         1
#> 169   22.41      1  46        0         0
#> 86    23.81      1  58        0         1
#> 66    22.13      1  53        0         0
#> 105   19.75      1  60        0         0
#> 136   21.83      1  43        0         1
#> 52    10.42      1  52        0         1
#> 134   17.81      1  47        1         0
#> 192   16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 111.1 17.45      1  47        0         1
#> 39    15.59      1  37        0         1
#> 91     5.33      1  61        0         1
#> 188.1 16.16      1  46        0         1
#> 134.1 17.81      1  47        1         0
#> 133   14.65      1  57        0         0
#> 125   15.65      1  67        1         0
#> 92    22.92      1  47        0         1
#> 117   17.46      1  26        0         1
#> 61.3  10.12      1  36        0         1
#> 111.2 17.45      1  47        0         1
#> 166   19.98      1  48        0         0
#> 127    3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 5     16.43      1  51        0         1
#> 170   19.54      1  43        0         1
#> 69    23.23      1  25        0         1
#> 61.4  10.12      1  36        0         1
#> 23    16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 92.1  22.92      1  47        0         1
#> 133.1 14.65      1  57        0         0
#> 8     18.43      1  32        0         0
#> 150   20.33      1  48        0         0
#> 187    9.92      1  39        1         0
#> 184   17.77      1  38        0         0
#> 184.1 17.77      1  38        0         0
#> 51    18.23      1  83        0         1
#> 66.1  22.13      1  53        0         0
#> 170.1 19.54      1  43        0         1
#> 29    15.45      1  68        1         0
#> 77     7.27      1  67        0         1
#> 66.2  22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 92.2  22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 164   23.60      1  76        0         1
#> 89    11.44      1  NA        0         0
#> 66.3  22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 93    10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 164.1 23.60      1  76        0         1
#> 108   18.29      1  39        0         1
#> 37    12.52      1  57        1         0
#> 153.1 21.33      1  55        1         0
#> 195   11.76      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 41    18.02      1  40        1         0
#> 30    17.43      1  78        0         0
#> 99    21.19      1  38        0         1
#> 39.1  15.59      1  37        0         1
#> 154   12.63      1  20        1         0
#> 49    12.19      1  48        1         0
#> 78    23.88      1  43        0         0
#> 37.1  12.52      1  57        1         0
#> 91.1   5.33      1  61        0         1
#> 180   14.82      1  37        0         0
#> 140   12.68      1  59        1         0
#> 181   16.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 15.1  22.68      1  48        0         0
#> 18    15.21      1  49        1         0
#> 90    20.94      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 166.1 19.98      1  48        0         0
#> 100   16.07      1  60        0         0
#> 139   21.49      1  63        1         0
#> 32    20.90      1  37        1         0
#> 157.1 15.10      1  47        0         0
#> 24    23.89      1  38        0         0
#> 136.1 21.83      1  43        0         1
#> 43    12.10      1  61        0         1
#> 155   13.08      1  26        0         0
#> 140.1 12.68      1  59        1         0
#> 24.1  23.89      1  38        0         0
#> 149.1  8.37      1  33        1         0
#> 189.1 10.51      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 43.1  12.10      1  61        0         1
#> 99.1  21.19      1  38        0         1
#> 189.2 10.51      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 99.2  21.19      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 125.2 15.65      1  67        1         0
#> 85    16.44      1  36        0         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 7     24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 95    24.00      0  68        0         1
#> 151.1 24.00      0  42        0         0
#> 22    24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 73    24.00      0  NA        0         1
#> 162.1 24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 73.1  24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 67    24.00      0  25        0         0
#> 172   24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 44    24.00      0  56        0         0
#> 138   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 118   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 104   24.00      0  50        1         0
#> 185.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 22.1  24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 120   24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 44.1  24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 196.1 24.00      0  19        0         0
#> 95.1  24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 47    24.00      0  38        0         1
#> 119.1 24.00      0  17        0         0
#> 121   24.00      0  57        1         0
#> 20.1  24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 122   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 17.1  24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 163   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 120.1 24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 115.1 24.00      0  NA        1         0
#> 95.2  24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 118.1 24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 35    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 104.1 24.00      0  50        1         0
#> 3.1   24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 104.2 24.00      0  50        1         0
#> 185.2 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 178.1 24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 72.1  24.00      0  40        0         1
#> 131   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 126.1 24.00      0  48        0         0
#> 46.1  24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 21.1  24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 151.2 24.00      0  42        0         0
#> 138.1 24.00      0  44        1         0
#> 46.2  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.211          NA        NA      NA
#> 2 age, Cure model          0.00252        NA        NA      NA
#> 3 grade_ii, Cure model    -0.272          NA        NA      NA
#> 4 grade_iii, Cure model    1.15           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0114        NA        NA      NA
#> 2 grade_ii, Survival model    0.983         NA        NA      NA
#> 3 grade_iii, Survival model   0.396         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.210678          0.002516         -0.272057          1.151558  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 241.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.210677637      0.002515566     -0.272056552      1.151558101 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01141556       0.98295095       0.39565500 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.698786995 0.530926293 0.866717407 0.302916301 0.866717407 0.917985596
#>   [7] 0.168685417 0.866717407 0.437214255 0.698786995 0.083991619 0.014654107
#>  [13] 0.092680733 0.272821448 0.138440651 0.845749692 0.376291402 0.499492391
#>  [19] 0.068146287 0.437214255 0.593821176 0.969271925 0.530926293 0.376291402
#>  [25] 0.677512418 0.562686334 0.047701034 0.416853946 0.866717407 0.437214255
#>  [31] 0.253328738 0.989702698 0.128155979 0.520352908 0.282930831 0.040152092
#>  [37] 0.866717407 0.478192858 0.646105900 0.047701034 0.677512418 0.323477648
#>  [43] 0.243706256 0.928437452 0.396390007 0.396390007 0.355063772 0.092680733
#>  [49] 0.282930831 0.625280851 0.959058346 0.092680733 0.730801107 0.047701034
#>  [55] 0.614783048 0.026207653 0.092680733 0.333909698 0.856222022 0.313147563
#>  [61] 0.938806185 0.026207653 0.344478873 0.773284786 0.168685417 0.014654107
#>  [67] 0.365784227 0.467673388 0.187485826 0.593821176 0.762779430 0.793933213
#>  [73] 0.008676893 0.773284786 0.969271925 0.666950215 0.741586796 0.488829704
#>  [79] 0.835300600 0.562686334 0.068146287 0.635738347 0.215125865 0.416853946
#>  [85] 0.253328738 0.551963322 0.158511270 0.234241454 0.646105900 0.001854410
#>  [91] 0.138440651 0.804251837 0.720049245 0.741586796 0.001854410 0.938806185
#>  [97] 0.215125865 0.804251837 0.187485826 0.824893387 0.187485826 0.562686334
#> [103] 0.499492391 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    96   188    61    76  61.1   101   153  61.2   111  96.1   169    86    66 
#> 14.54 16.16 10.12 19.22 10.12  9.97 21.33 10.12 17.45 14.54 22.41 23.81 22.13 
#>   105   136    52   134   192    15 111.1    39    91 188.1 134.1   133   125 
#> 19.75 21.83 10.42 17.81 16.44 22.68 17.45 15.59  5.33 16.16 17.81 14.65 15.65 
#>    92   117  61.3 111.2   166   127   175     5   170    69  61.4    23   157 
#> 22.92 17.46 10.12 17.45 19.98  3.53 21.91 16.43 19.54 23.23 10.12 16.92 15.10 
#>  92.1 133.1     8   150   187   184 184.1    51  66.1 170.1    29    77  66.2 
#> 22.92 14.65 18.43 20.33  9.92 17.77 17.77 18.23 22.13 19.54 15.45  7.27 22.13 
#>    14  92.2   167   164  66.3    88    93    97   149 164.1   108    37 153.1 
#> 12.89 22.92 15.55 23.60 22.13 18.37 10.33 19.14  8.37 23.60 18.29 12.52 21.33 
#>  86.1    41    30    99  39.1   154    49    78  37.1  91.1   180   140   181 
#> 23.81 18.02 17.43 21.19 15.59 12.63 12.19 23.88 12.52  5.33 14.82 12.68 16.46 
#>    10 125.1  15.1    18    90 117.1 166.1   100   139    32 157.1    24 136.1 
#> 10.53 15.65 22.68 15.21 20.94 17.46 19.98 16.07 21.49 20.90 15.10 23.89 21.83 
#>    43   155 140.1  24.1 149.1  90.1  43.1  99.1   159  99.2 125.2    85    72 
#> 12.10 13.08 12.68 23.89  8.37 20.94 12.10 21.19 10.55 21.19 15.65 16.44 24.00 
#>   151     7   162   132   126    84    95 151.1    22   185   142    48     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 162.1    65     2    67   172    27   112    44   138   156   144    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   118   196   104 185.1    21  22.1   119   120   176  44.1   146   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1  95.1   174 174.1    47 119.1   121  20.1   135   122   141    46  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   163    75 120.1    53  95.2 172.1   116 118.1  67.1    35    62 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1    38 104.2 185.2   200 178.1   173  72.1   131 163.1 126.1  46.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1 146.1 151.2 138.1  46.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004194738               0.911042363               0.494282999 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.12637138              0.02438264             -0.29031349 
#>   grade_iii, Cure model 
#>              0.72882937 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 123   13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 63    22.77      1  31        1         0
#> 110   17.56      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 125   15.65      1  67        1         0
#> 92    22.92      1  47        0         1
#> 42    12.43      1  49        0         1
#> 179   18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 177   12.53      1  75        0         0
#> 59.1  10.16      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 37.1  12.52      1  57        1         0
#> 78    23.88      1  43        0         0
#> 91     5.33      1  61        0         1
#> 192   16.44      1  31        1         0
#> 66    22.13      1  53        0         0
#> 43    12.10      1  61        0         1
#> 76    19.22      1  54        0         1
#> 106   16.67      1  49        1         0
#> 175   21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 188   16.16      1  46        0         1
#> 51    18.23      1  83        0         1
#> 56.1  12.21      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 99    21.19      1  38        0         1
#> 92.1  22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 92.2  22.92      1  47        0         1
#> 55    19.34      1  69        0         1
#> 29    15.45      1  68        1         0
#> 149    8.37      1  33        1         0
#> 123.1 13.00      1  44        1         0
#> 192.1 16.44      1  31        1         0
#> 140   12.68      1  59        1         0
#> 117   17.46      1  26        0         1
#> 96    14.54      1  33        0         1
#> 189.2 10.51      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 69    23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 39    15.59      1  37        0         1
#> 79    16.23      1  54        1         0
#> 110.1 17.56      1  65        0         1
#> 85    16.44      1  36        0         0
#> 56.2  12.21      1  60        0         0
#> 23    16.92      1  61        0         0
#> 57    14.46      1  45        0         1
#> 51.1  18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 113   22.86      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 101    9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 41    18.02      1  40        1         0
#> 5     16.43      1  51        0         1
#> 175.1 21.91      1  43        0         0
#> 129   23.41      1  53        1         0
#> 30    17.43      1  78        0         0
#> 195.1 11.76      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 18    15.21      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 13    14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 175.2 21.91      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 179.1 18.63      1  42        0         0
#> 187    9.92      1  39        1         0
#> 45    17.42      1  54        0         1
#> 81    14.06      1  34        0         0
#> 145   10.07      1  65        1         0
#> 180   14.82      1  37        0         0
#> 164.1 23.60      1  76        0         1
#> 26    15.77      1  49        0         1
#> 79.1  16.23      1  54        1         0
#> 86    23.81      1  58        0         1
#> 166   19.98      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 45.1  17.42      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 189.3 10.51      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 93.1  10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 168.2 23.72      1  70        0         0
#> 70     7.38      1  30        1         0
#> 8.2   18.43      1  32        0         0
#> 24.1  23.89      1  38        0         0
#> 169   22.41      1  46        0         0
#> 97    19.14      1  65        0         1
#> 127    3.53      1  62        0         1
#> 155   13.08      1  26        0         0
#> 139   21.49      1  63        1         0
#> 64    24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 64.1  24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 102   24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 71    24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 72.1  24.00      0  40        0         1
#> 182   24.00      0  35        0         0
#> 186   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 35.1  24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 54    24.00      0  53        1         0
#> 104.1 24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 48    24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 98    24.00      0  34        1         0
#> 118.1 24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 64.2  24.00      0  43        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 132   24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 9.2   24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 87    24.00      0  27        0         0
#> 138   24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 72.2  24.00      0  40        0         1
#> 20.1  24.00      0  46        1         0
#> 17    24.00      0  38        0         1
#> 191.1 24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 20.2  24.00      0  46        1         0
#> 160   24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 44    24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 144   24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 54.1  24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 83.2  24.00      0   6        0         0
#> 141.1 24.00      0  44        1         0
#> 132.1 24.00      0  55        0         0
#> 1.1   24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 67    24.00      0  25        0         0
#> 118.2 24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 112   24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 151.1 24.00      0  42        0         0
#> 74.1  24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 11    24.00      0  42        0         1
#> 131.1 24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 185.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.13          NA        NA      NA
#> 2 age, Cure model           0.0244        NA        NA      NA
#> 3 grade_ii, Cure model     -0.290         NA        NA      NA
#> 4 grade_iii, Cure model     0.729         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00419        NA        NA      NA
#> 2 grade_ii, Survival model   0.911          NA        NA      NA
#> 3 grade_iii, Survival model  0.494          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.12637           0.02438          -0.29031           0.72883  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.6 
#> Residual Deviance: 244.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.12637138       0.02438264      -0.29031349       0.72882937 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004194738      0.911042363      0.494282999 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.94735105 0.30333570 0.81230144 0.11314833 0.21981574 0.53302828
#>   [7] 0.35791940 0.71855371 0.17161535 0.86877964 0.44085934 0.83684847
#>  [13] 0.84490611 0.85298454 0.87668924 0.85298454 0.03582953 0.98511727
#>  [19] 0.62938724 0.24367952 0.90034582 0.42011080 0.61990040 0.25578416
#>  [25] 0.29120425 0.56234735 0.69222369 0.49226456 0.87668924 0.56234735
#>  [31] 0.90828256 0.01108913 0.06898100 0.33659679 0.17161535 0.17161535
#>  [37] 0.39940248 0.74463031 0.97012083 0.81230144 0.62938724 0.82868974
#>  [43] 0.55257034 0.77019450 0.06898100 0.15779784 0.38888954 0.73596048
#>  [49] 0.67452486 0.53302828 0.62938724 0.87668924 0.61026241 0.77865207
#>  [55] 0.49226456 0.46145765 0.20712661 0.69222369 0.93183221 0.72724923
#>  [61] 0.51288623 0.66537922 0.25578416 0.14338051 0.58150303 0.52307467
#>  [67] 0.75321322 0.62938724 0.78707693 0.39940248 0.25578416 0.46145765
#>  [73] 0.44085934 0.93962725 0.59120604 0.79547420 0.92399970 0.76169706
#>  [79] 0.11314833 0.70976484 0.67452486 0.05311353 0.36827020 0.30333570
#>  [85] 0.59120604 0.36827020 0.94735105 0.34744275 0.90828256 0.96251953
#>  [91] 0.06898100 0.97765335 0.46145765 0.01108913 0.23169366 0.43051607
#>  [97] 0.99256600 0.80388327 0.32561005 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   183   197   123   164    63   110   128   125    92    42   179   154   177 
#>  9.24 21.60 13.00 23.60 22.77 17.56 20.35 15.65 22.92 12.43 18.63 12.63 12.53 
#>    37    56  37.1    78    91   192    66    43    76   106   175   136   111 
#> 12.52 12.21 12.52 23.88  5.33 16.44 22.13 12.10 19.22 16.67 21.91 21.83 17.45 
#>   188    51  56.1 111.1    93    24   168    99  92.1  92.2    55    29   149 
#> 16.16 18.23 12.21 17.45 10.33 23.89 23.72 21.19 22.92 22.92 19.34 15.45  8.37 
#> 123.1 192.1   140   117    96 168.1    69   105    39    79 110.1    85  56.2 
#> 13.00 16.44 12.68 17.46 14.54 23.72 23.23 19.75 15.59 16.23 17.56 16.44 12.21 
#>    23    57  51.1     8   113 188.1   101     6    41     5 175.1   129    30 
#> 16.92 14.46 18.23 18.43 22.86 16.16  9.97 15.64 18.02 16.43 21.91 23.41 17.43 
#>    40    18  85.1    13    58 175.2   8.1 179.1   187    45    81   145   180 
#> 18.00 15.21 16.44 14.34 19.34 21.91 18.43 18.63  9.92 17.42 14.06 10.07 14.82 
#> 164.1    26  79.1    86   166 197.1  45.1 166.1 183.1    32  93.1    16 168.2 
#> 23.60 15.77 16.23 23.81 19.98 21.60 17.42 19.98  9.24 20.90 10.33  8.71 23.72 
#>    70   8.2  24.1   169    97   127   155   139    64     3   156    46    75 
#>  7.38 18.43 23.89 22.41 19.14  3.53 13.08 21.49 24.00 24.00 24.00 24.00 24.00 
#>  64.1    72   102   104   120    33   118    27    20   198    71    35   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1   182   186    83  35.1   109   141     1    54 104.1   176    62   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48  83.1    98 118.1  48.1     9   126   9.1  64.2    65  65.1    53   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   9.2   7.1    87   138   3.1  72.2  20.1    17 191.1   161    80    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.2   160  28.1    44    74    31   144   131  54.1    82  83.2 141.1 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   185   151    67 118.2   193   112   162 151.1  74.1   103    38  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    11 131.1   196 185.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0004039159              0.5317682623              0.8243209081 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.81606714              0.01860724             -0.29020873 
#>   grade_iii, Cure model 
#>              0.99726508 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 167   15.55      1  56        1         0
#> 4     17.64      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 154   12.63      1  20        1         0
#> 179   18.63      1  42        0         0
#> 157   15.10      1  47        0         0
#> 170   19.54      1  43        0         1
#> 188   16.16      1  46        0         1
#> 167.1 15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 91     5.33      1  61        0         1
#> 159   10.55      1  50        0         1
#> 70     7.38      1  30        1         0
#> 24    23.89      1  38        0         0
#> 154.1 12.63      1  20        1         0
#> 42    12.43      1  49        0         1
#> 97    19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 177   12.53      1  75        0         0
#> 179.1 18.63      1  42        0         0
#> 60    13.15      1  38        1         0
#> 26.1  15.77      1  49        0         1
#> 93    10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 52    10.42      1  52        0         1
#> 90    20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 59    10.16      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 114   13.68      1  NA        0         0
#> 157.1 15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 18    15.21      1  49        1         0
#> 39    15.59      1  37        0         1
#> 155   13.08      1  26        0         0
#> 30.1  17.43      1  78        0         0
#> 180   14.82      1  37        0         0
#> 187    9.92      1  39        1         0
#> 18.1  15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 117   17.46      1  26        0         1
#> 169   22.41      1  46        0         0
#> 127    3.53      1  62        0         1
#> 129   23.41      1  53        1         0
#> 149    8.37      1  33        1         0
#> 101.1  9.97      1  10        0         1
#> 192   16.44      1  31        1         0
#> 105   19.75      1  60        0         0
#> 97.1  19.14      1  65        0         1
#> 30.2  17.43      1  78        0         0
#> 99    21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 66    22.13      1  53        0         0
#> 167.2 15.55      1  56        1         0
#> 117.1 17.46      1  26        0         1
#> 197   21.60      1  69        1         0
#> 113.1 22.86      1  34        0         0
#> 153   21.33      1  55        1         0
#> 117.2 17.46      1  26        0         1
#> 91.1   5.33      1  61        0         1
#> 149.1  8.37      1  33        1         0
#> 199   19.81      1  NA        0         1
#> 129.1 23.41      1  53        1         0
#> 125   15.65      1  67        1         0
#> 26.2  15.77      1  49        0         1
#> 107   11.18      1  54        1         0
#> 136   21.83      1  43        0         1
#> 57    14.46      1  45        0         1
#> 29    15.45      1  68        1         0
#> 177.1 12.53      1  75        0         0
#> 52.1  10.42      1  52        0         1
#> 88    18.37      1  47        0         0
#> 197.1 21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 58    19.34      1  39        0         0
#> 13.1  14.34      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 177.2 12.53      1  75        0         0
#> 158   20.14      1  74        1         0
#> 15    22.68      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 52.2  10.42      1  52        0         1
#> 169.1 22.41      1  46        0         0
#> 49    12.19      1  48        1         0
#> 43    12.10      1  61        0         1
#> 128   20.35      1  35        0         1
#> 16     8.71      1  71        0         1
#> 15.1  22.68      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 10    10.53      1  34        0         0
#> 13.2  14.34      1  54        0         1
#> 14.1  12.89      1  21        0         0
#> 187.1  9.92      1  39        1         0
#> 171   16.57      1  41        0         1
#> 90.1  20.94      1  50        0         1
#> 58.1  19.34      1  39        0         0
#> 42.1  12.43      1  49        0         1
#> 29.1  15.45      1  68        1         0
#> 149.2  8.37      1  33        1         0
#> 50    10.02      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 5     16.43      1  51        0         1
#> 171.1 16.57      1  41        0         1
#> 110.1 17.56      1  65        0         1
#> 137   24.00      0  45        1         0
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 185   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 120   24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 74.1  24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 121.1 24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 28    24.00      0  67        1         0
#> 131   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 83    24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 147   24.00      0  76        1         0
#> 20    24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 112   24.00      0  61        0         0
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 47.1  24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 152.1 24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 21    24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 120.1 24.00      0  68        0         1
#> 64.1  24.00      0  43        0         0
#> 21.1  24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 75    24.00      0  21        1         0
#> 147.1 24.00      0  76        1         0
#> 38.1  24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 115.1 24.00      0  NA        1         0
#> 115.2 24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 160   24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 62    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 185.1 24.00      0  44        1         0
#> 121.2 24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 196   24.00      0  19        0         0
#> 156.1 24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 182.1 24.00      0  35        0         0
#> 135   24.00      0  58        1         0
#> 142.1 24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 67.1  24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 185.2 24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 3.1   24.00      0  31        1         0
#> 182.2 24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 165.1 24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.816         NA        NA      NA
#> 2 age, Cure model           0.0186        NA        NA      NA
#> 3 grade_ii, Cure model     -0.290         NA        NA      NA
#> 4 grade_iii, Cure model     0.997         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000404        NA        NA      NA
#> 2 grade_ii, Survival model   0.532           NA        NA      NA
#> 3 grade_iii, Survival model  0.824           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.81607           0.01861          -0.29021           0.99727  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 243 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.81606714       0.01860724      -0.29020873       0.99726508 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0004039159     0.5317682623     0.8243209081 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.53710764 0.70119843 0.66374451 0.82646159 0.48883685 0.75117964
#>   [7] 0.41761123 0.65582326 0.70119843 0.13987697 0.23584647 0.98276447
#>  [13] 0.89203057 0.97691017 0.01587298 0.82646159 0.85960109 0.46956170
#>  [19] 0.45930358 0.41761123 0.83974337 0.48883685 0.79954749 0.66374451
#>  [25] 0.92325118 0.04381979 0.90476319 0.33747170 0.58100447 0.92940445
#>  [31] 0.63155148 0.75117964 0.10624395 0.73707900 0.69377070 0.80628908
#>  [37] 0.58100447 0.76528527 0.94146790 0.73707900 0.77937878 0.55538730
#>  [43] 0.18786128 0.99427079 0.07284486 0.95938117 0.92940445 0.63155148
#>  [49] 0.40635276 0.46956170 0.58100447 0.32438471 0.60665689 0.21942540
#>  [55] 0.70119843 0.55538730 0.28285916 0.10624395 0.31060546 0.55538730
#>  [61] 0.98276447 0.95938117 0.07284486 0.68624250 0.66374451 0.88560797
#>  [67] 0.26762519 0.77237186 0.72279569 0.83974337 0.90476319 0.50812488
#>  [73] 0.28285916 0.39510177 0.52748533 0.43844957 0.77937878 0.81303126
#>  [79] 0.83974337 0.38385695 0.15640674 0.51786571 0.90476319 0.18786128
#>  [85] 0.87264195 0.87915424 0.36093641 0.95342786 0.15640674 0.23584647
#>  [91] 0.89839657 0.77937878 0.81303126 0.94146790 0.61518109 0.33747170
#>  [97] 0.43844957 0.85960109 0.72279569 0.95938117 0.37239328 0.64778174
#> [103] 0.61518109 0.53710764 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   110   167    26   154   179   157   170   188 167.1    63   175    91   159 
#> 17.56 15.55 15.77 12.63 18.63 15.10 19.54 16.16 15.55 22.77 21.91  5.33 10.55 
#>    70    24 154.1    42    97    76 170.1   177 179.1    60  26.1    93    78 
#>  7.38 23.89 12.63 12.43 19.14 19.22 19.54 12.53 18.63 13.15 15.77 10.33 23.88 
#>    52    90    30   101    85 157.1   113    18    39   155  30.1   180   187 
#> 10.42 20.94 17.43  9.97 16.44 15.10 22.86 15.21 15.59 13.08 17.43 14.82  9.92 
#>  18.1    13   117   169   127   129   149 101.1   192   105  97.1  30.2    99 
#> 15.21 14.34 17.46 22.41  3.53 23.41  8.37  9.97 16.44 19.75 19.14 17.43 21.19 
#>    45    66 167.2 117.1   197 113.1   153 117.2  91.1 149.1 129.1   125  26.2 
#> 17.42 22.13 15.55 17.46 21.60 22.86 21.33 17.46  5.33  8.37 23.41 15.65 15.77 
#>   107   136    57    29 177.1  52.1    88 197.1   166   184    58  13.1    14 
#> 11.18 21.83 14.46 15.45 12.53 10.42 18.37 21.60 19.98 17.77 19.34 14.34 12.89 
#> 177.2   158    15   134  52.2 169.1    49    43   128    16  15.1 175.1    10 
#> 12.53 20.14 22.68 17.81 10.42 22.41 12.19 12.10 20.35  8.71 22.68 21.91 10.53 
#>  13.2  14.1 187.1   171  90.1  58.1  42.1  29.1 149.2   150     5 171.1 110.1 
#> 14.34 12.89  9.92 16.57 20.94 19.34 12.43 15.45  8.37 20.33 16.43 16.57 17.56 
#>   137    12   102    67    98   132   185   174   173   120    71    74    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  74.1   121    38    64    72 121.1    94    28   131    83   103   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   143   152   182   112   186   165  47.1   116     3     7 152.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1    21  12.1 120.1  64.1  21.1    80     1    75 147.1  38.1  75.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   160    35   156    62    48  48.1 186.1 185.1 121.2   151   196 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  94.1   172 103.1   144 182.1   135 142.1   178  67.1   163 185.2  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1 182.2   138     9  98.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007703846               0.475502587               0.762392404 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.355593318             0.008297693            -0.467045250 
#>   grade_iii, Cure model 
#>             0.857123667 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 13    14.34      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 127    3.53      1  62        0         1
#> 13.1  14.34      1  54        0         1
#> 106   16.67      1  49        1         0
#> 101    9.97      1  10        0         1
#> 60    13.15      1  38        1         0
#> 170   19.54      1  43        0         1
#> 76    19.22      1  54        0         1
#> 8     18.43      1  32        0         0
#> 59    10.16      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 56    12.21      1  60        0         0
#> 150   20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 100   16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 15    22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 110   17.56      1  65        0         1
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 68    20.62      1  44        0         0
#> 114   13.68      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 6     15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 175   21.91      1  43        0         0
#> 110.1 17.56      1  65        0         1
#> 77.1   7.27      1  67        0         1
#> 168.1 23.72      1  70        0         0
#> 150.1 20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 179.1 18.63      1  42        0         0
#> 170.1 19.54      1  43        0         1
#> 18    15.21      1  49        1         0
#> 136   21.83      1  43        0         1
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 170.2 19.54      1  43        0         1
#> 78    23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 150.2 20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 16     8.71      1  71        0         1
#> 50.1  10.02      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 16.2   8.71      1  71        0         1
#> 183    9.24      1  67        1         0
#> 107   11.18      1  54        1         0
#> 89.1  11.44      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 101.1  9.97      1  10        0         1
#> 32    20.90      1  37        1         0
#> 195   11.76      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 14    12.89      1  21        0         0
#> 13.2  14.34      1  54        0         1
#> 26    15.77      1  49        0         1
#> 70     7.38      1  30        1         0
#> 51    18.23      1  83        0         1
#> 170.3 19.54      1  43        0         1
#> 123   13.00      1  44        1         0
#> 43.1  12.10      1  61        0         1
#> 168.2 23.72      1  70        0         0
#> 101.2  9.97      1  10        0         1
#> 108   18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 40    18.00      1  28        1         0
#> 63.1  22.77      1  31        1         0
#> 154.1 12.63      1  20        1         0
#> 63.2  22.77      1  31        1         0
#> 52.1  10.42      1  52        0         1
#> 171   16.57      1  41        0         1
#> 113   22.86      1  34        0         0
#> 99    21.19      1  38        0         1
#> 150.3 20.33      1  48        0         0
#> 184.1 17.77      1  38        0         0
#> 130   16.47      1  53        0         1
#> 57    14.46      1  45        0         1
#> 77.2   7.27      1  67        0         1
#> 129   23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 96    14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 61    10.12      1  36        0         1
#> 157.1 15.10      1  47        0         0
#> 111   17.45      1  47        0         1
#> 164   23.60      1  76        0         1
#> 60.1  13.15      1  38        1         0
#> 70.1   7.38      1  30        1         0
#> 136.1 21.83      1  43        0         1
#> 93    10.33      1  52        0         1
#> 134   17.81      1  47        1         0
#> 180.1 14.82      1  37        0         0
#> 55.1  19.34      1  69        0         1
#> 127.1  3.53      1  62        0         1
#> 123.1 13.00      1  44        1         0
#> 145   10.07      1  65        1         0
#> 175.1 21.91      1  43        0         0
#> 158   20.14      1  74        1         0
#> 150.4 20.33      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 30    17.43      1  78        0         0
#> 92    22.92      1  47        0         1
#> 7     24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 148.1 24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 147   24.00      0  76        1         0
#> 98    24.00      0  34        1         0
#> 22    24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 144   24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 135.1 24.00      0  58        1         0
#> 143.1 24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 54    24.00      0  53        1         0
#> 156.1 24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 2     24.00      0   9        0         0
#> 71.1  24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 148.2 24.00      0  61        1         0
#> 1.1   24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 146.1 24.00      0  63        1         0
#> 64.2  24.00      0  43        0         0
#> 87    24.00      0  27        0         0
#> 120   24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 65    24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 22.1  24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 119.1 24.00      0  17        0         0
#> 47    24.00      0  38        0         1
#> 148.3 24.00      0  61        1         0
#> 135.2 24.00      0  58        1         0
#> 54.1  24.00      0  53        1         0
#> 75    24.00      0  21        1         0
#> 112   24.00      0  61        0         0
#> 119.2 24.00      0  17        0         0
#> 156.2 24.00      0  50        1         0
#> 7.1   24.00      0  37        1         0
#> 146.2 24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 109   24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 33.1  24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 11.1  24.00      0  42        0         1
#> 137   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 19.1  24.00      0  57        0         1
#> 119.3 24.00      0  17        0         0
#> 11.2  24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 120.1 24.00      0  68        0         1
#> 75.1  24.00      0  21        1         0
#> 67    24.00      0  25        0         0
#> 17.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.356          NA        NA      NA
#> 2 age, Cure model          0.00830        NA        NA      NA
#> 3 grade_ii, Cure model    -0.467          NA        NA      NA
#> 4 grade_iii, Cure model    0.857          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00770        NA        NA      NA
#> 2 grade_ii, Survival model   0.476          NA        NA      NA
#> 3 grade_iii, Survival model  0.762          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.355593          0.008298         -0.467045          0.857124  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262.4 
#> Residual Deviance: 247.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.355593318      0.008297693     -0.467045250      0.857123667 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007703846      0.475502587      0.762392404 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.751135342 0.666972386 0.982970818 0.666972386 0.512842406 0.861629199
#>   [7] 0.704381510 0.284023832 0.352641488 0.382716176 0.974369728 0.769639964
#>  [13] 0.221454458 0.778990427 0.551557252 0.323100545 0.012672452 0.124139943
#>  [19] 0.362657848 0.443587154 0.463630105 0.094016023 0.570706873 0.210916251
#>  [25] 0.948717319 0.580249695 0.179161887 0.135433946 0.463630105 0.948717319
#>  [31] 0.012672452 0.221454458 0.618568301 0.362657848 0.284023832 0.589833423
#>  [37] 0.158107865 0.483417404 0.599401145 0.284023832 0.003147792 0.323100545
#>  [43] 0.887821827 0.221454458 0.806696602 0.905428168 0.905428168 0.905428168
#>  [49] 0.896623276 0.797429665 0.542005716 0.861629199 0.200527351 0.637883936
#>  [55] 0.741737028 0.666972386 0.561170407 0.931406456 0.413397177 0.284023832
#>  [61] 0.723094543 0.778990427 0.012672452 0.861629199 0.403244568 0.815988135
#>  [67] 0.423517278 0.094016023 0.751135342 0.094016023 0.815988135 0.522656835
#>  [73] 0.081487778 0.190024437 0.221454458 0.443587154 0.532368620 0.657357240
#>  [79] 0.948717319 0.056168904 0.694911237 0.647669052 0.843439889 0.599401145
#>  [85] 0.493260881 0.042743518 0.704381510 0.931406456 0.158107865 0.834284828
#>  [91] 0.433566158 0.618568301 0.323100545 0.982970818 0.723094543 0.852533334
#>  [97] 0.135433946 0.272832049 0.221454458 0.392939644 0.503008604 0.069390841
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   154    13   127  13.1   106   101    60   170    76     8    91    56   150 
#> 12.63 14.34  3.53 14.34 16.67  9.97 13.15 19.54 19.22 18.43  5.33 12.21 20.33 
#>    43   100    58   168    15   179   184   110    63   125    68    77     6 
#> 12.10 16.07 19.34 23.72 22.68 18.63 17.77 17.56 22.77 15.65 20.62  7.27 15.64 
#>   139   175 110.1  77.1 168.1 150.1   180 179.1 170.1    18   136   117   157 
#> 21.49 21.91 17.56  7.27 23.72 20.33 14.82 18.63 19.54 15.21 21.83 17.46 15.10 
#> 170.2    78    55   187 150.2    10    16  16.1  16.2   183   107   188 101.1 
#> 19.54 23.88 19.34  9.92 20.33 10.53  8.71  8.71  8.71  9.24 11.18 16.16  9.97 
#>    32   133    14  13.2    26    70    51 170.3   123  43.1 168.2 101.2   108 
#> 20.90 14.65 12.89 14.34 15.77  7.38 18.23 19.54 13.00 12.10 23.72  9.97 18.29 
#>    52    40  63.1 154.1  63.2  52.1   171   113    99 150.3 184.1   130    57 
#> 10.42 18.00 22.77 12.63 22.77 10.42 16.57 22.86 21.19 20.33 17.77 16.47 14.46 
#>  77.2   129    81    96    61 157.1   111   164  60.1  70.1 136.1    93   134 
#>  7.27 23.41 14.06 14.54 10.12 15.10 17.45 23.60 13.15  7.38 21.83 10.33 17.81 
#> 180.1  55.1 127.1 123.1   145 175.1   158 150.4    88    30    92     7   162 
#> 14.82 19.34  3.53 13.00 10.07 21.91 20.14 20.33 18.37 17.43 22.92 24.00 24.00 
#>    95    74   178   119    11   148   135 148.1   143   196    64   160   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    98    22   141 162.1   156   144    33    62 135.1 143.1  64.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1   103    17    83   146     1    71    34     2  71.1    48    28     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   172    82    72 148.2   1.1   185    31 146.1  64.2    87   120   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38 172.1   102    65   198  22.1    19 119.1    47 148.3 135.2  54.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112 119.2 156.2   7.1 146.2   116   109    44  33.1   161  11.1   137    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1 119.3  11.2 147.1 120.1  75.1    67  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002470872               0.235502175               0.485429524 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.488953574             0.009047344             0.122071162 
#>   grade_iii, Cure model 
#>             0.700672893 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 81    14.06      1  34        0         0
#> 39    15.59      1  37        0         1
#> 14    12.89      1  21        0         0
#> 125   15.65      1  67        1         0
#> 111   17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 105   19.75      1  60        0         0
#> 197   21.60      1  69        1         0
#> 140   12.68      1  59        1         0
#> 42    12.43      1  49        0         1
#> 23    16.92      1  61        0         0
#> 61    10.12      1  36        0         1
#> 41    18.02      1  40        1         0
#> 43    12.10      1  61        0         1
#> 127    3.53      1  62        0         1
#> 134   17.81      1  47        1         0
#> 36    21.19      1  48        0         1
#> 16     8.71      1  71        0         1
#> 25     6.32      1  34        1         0
#> 157   15.10      1  47        0         0
#> 79    16.23      1  54        1         0
#> 184   17.77      1  38        0         0
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 26    15.77      1  49        0         1
#> 43.1  12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 197.1 21.60      1  69        1         0
#> 129   23.41      1  53        1         0
#> 45    17.42      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 175   21.91      1  43        0         0
#> 180   14.82      1  37        0         0
#> 192   16.44      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 39.1  15.59      1  37        0         1
#> 192.1 16.44      1  31        1         0
#> 105.1 19.75      1  60        0         0
#> 192.2 16.44      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 108   18.29      1  39        0         1
#> 40    18.00      1  28        1         0
#> 49    12.19      1  48        1         0
#> 97    19.14      1  65        0         1
#> 32    20.90      1  37        1         0
#> 100   16.07      1  60        0         0
#> 61.1  10.12      1  36        0         1
#> 195   11.76      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 13    14.34      1  54        0         1
#> 39.2  15.59      1  37        0         1
#> 56    12.21      1  60        0         0
#> 96    14.54      1  33        0         1
#> 188   16.16      1  46        0         1
#> 89    11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 29    15.45      1  68        1         0
#> 188.1 16.16      1  46        0         1
#> 114   13.68      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 111.1 17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 180.1 14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 153.1 21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 129.1 23.41      1  53        1         0
#> 110   17.56      1  65        0         1
#> 181   16.46      1  45        0         1
#> 175.1 21.91      1  43        0         0
#> 37.1  12.52      1  57        1         0
#> 114.1 13.68      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 61.2  10.12      1  36        0         1
#> 45.1  17.42      1  54        0         1
#> 26.2  15.77      1  49        0         1
#> 58    19.34      1  39        0         0
#> 157.1 15.10      1  47        0         0
#> 177   12.53      1  75        0         0
#> 77     7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 68    20.62      1  44        0         0
#> 29.1  15.45      1  68        1         0
#> 61.3  10.12      1  36        0         1
#> 139   21.49      1  63        1         0
#> 111.2 17.45      1  47        0         1
#> 181.1 16.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 101.1  9.97      1  10        0         1
#> 157.2 15.10      1  47        0         0
#> 190   20.81      1  42        1         0
#> 69    23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 157.3 15.10      1  47        0         0
#> 194   22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 159.1 10.55      1  50        0         1
#> 111.3 17.45      1  47        0         1
#> 51    18.23      1  83        0         1
#> 24.1  23.89      1  38        0         0
#> 105.2 19.75      1  60        0         0
#> 70     7.38      1  30        1         0
#> 43.2  12.10      1  61        0         1
#> 30    17.43      1  78        0         0
#> 177.1 12.53      1  75        0         0
#> 18.1  15.21      1  49        1         0
#> 159.2 10.55      1  50        0         1
#> 187    9.92      1  39        1         0
#> 195.1 11.76      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 72    24.00      0  40        0         1
#> 182   24.00      0  35        0         0
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 193   24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 174   24.00      0  49        1         0
#> 198.1 24.00      0  66        0         1
#> 27    24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 53    24.00      0  32        0         1
#> 62    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 115   24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 62.1  24.00      0  71        0         0
#> 72.1  24.00      0  40        0         1
#> 83.1  24.00      0   6        0         0
#> 200   24.00      0  64        0         0
#> 104   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 191.1 24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 137   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 122   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 104.1 24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 87.1  24.00      0  27        0         0
#> 75    24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 142   24.00      0  53        0         0
#> 174.1 24.00      0  49        1         0
#> 19    24.00      0  57        0         1
#> 115.1 24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 182.1 24.00      0  35        0         0
#> 135.1 24.00      0  58        1         0
#> 104.2 24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 35    24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 1     24.00      0  23        1         0
#> 191.2 24.00      0  60        0         1
#> 146   24.00      0  63        1         0
#> 174.2 24.00      0  49        1         0
#> 116.1 24.00      0  58        0         1
#> 135.2 24.00      0  58        1         0
#> 48.1  24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 142.1 24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 176.2 24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 22    24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 116.2 24.00      0  58        0         1
#> 64.2  24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 104.3 24.00      0  50        1         0
#> 83.2  24.00      0   6        0         0
#> 116.3 24.00      0  58        0         1
#> 115.2 24.00      0  NA        1         0
#> 115.3 24.00      0  NA        1         0
#> 95.1  24.00      0  68        0         1
#> 73.1  24.00      0  NA        0         1
#> 67.1  24.00      0  25        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.489          NA        NA      NA
#> 2 age, Cure model          0.00905        NA        NA      NA
#> 3 grade_ii, Cure model     0.122          NA        NA      NA
#> 4 grade_iii, Cure model    0.701          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00247        NA        NA      NA
#> 2 grade_ii, Survival model   0.236          NA        NA      NA
#> 3 grade_iii, Survival model  0.485          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.488954          0.009047          0.122071          0.700673  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    256.4 
#> Residual Deviance: 251 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.488953574      0.009047344      0.122071162      0.700672893 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002470872      0.235502175      0.485429524 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.74690393 0.60231945 0.75538709 0.59351790 0.41197194 0.19672173
#>   [7] 0.29014339 0.16401770 0.76387507 0.80617372 0.47689844 0.88904890
#>  [13] 0.36182797 0.83154156 0.99216346 0.38197494 0.21803002 0.94472358
#>  [19] 0.97641642 0.67046844 0.53153471 0.39199037 0.09455156 0.62780862
#>  [25] 0.56747533 0.83154156 0.88084010 0.16401770 0.05644886 0.45833945
#>  [31] 0.13024316 0.70422701 0.50459138 0.56747533 0.60231945 0.50459138
#>  [37] 0.29014339 0.50459138 0.78928194 0.34145335 0.37192613 0.82308877
#>  [43] 0.33107032 0.23842142 0.55847382 0.88904890 0.27978394 0.73842852
#>  [49] 0.60231945 0.81462519 0.72134989 0.54065515 0.01372447 0.63641062
#>  [55] 0.54065515 0.65346642 0.92086838 0.41197194 0.85634547 0.70422701
#>  [61] 0.72991188 0.19672173 0.98430246 0.05644886 0.40202879 0.48629586
#>  [67] 0.13024316 0.78928194 0.21803002 0.88904890 0.45833945 0.56747533
#>  [73] 0.32056084 0.67046844 0.77235421 0.96851994 0.15272655 0.25906816
#>  [79] 0.63641062 0.88904890 0.18563417 0.41197194 0.48629586 0.04116642
#>  [85] 0.92086838 0.67046844 0.24877492 0.08182153 0.26940376 0.67046844
#>  [91] 0.11868503 0.95266685 0.85634547 0.41197194 0.35168839 0.01372447
#>  [97] 0.29014339 0.96059913 0.83154156 0.44879946 0.77235421 0.65346642
#> [103] 0.85634547 0.93675595 0.10656257 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    81    39    14   125   111   153   105   197   140    42    23    61    41 
#> 14.06 15.59 12.89 15.65 17.45 21.33 19.75 21.60 12.68 12.43 16.92 10.12 18.02 
#>    43   127   134    36    16    25   157    79   184    92   167    26  43.1 
#> 12.10  3.53 17.81 21.19  8.71  6.32 15.10 16.23 17.77 22.92 15.55 15.77 12.10 
#>    52 197.1   129    45   175   180   192  26.1  39.1 192.1 105.1 192.2    37 
#> 10.42 21.60 23.41 17.42 21.91 14.82 16.44 15.77 15.59 16.44 19.75 16.44 12.52 
#>   108    40    49    97    32   100  61.1   158    13  39.2    56    96   188 
#> 18.29 18.00 12.19 19.14 20.90 16.07 10.12 20.14 14.34 15.59 12.21 14.54 16.16 
#>    24    29 188.1    18   101 111.1   159 180.1    57 153.1    91 129.1   110 
#> 23.89 15.45 16.16 15.21  9.97 17.45 10.55 14.82 14.46 21.33  5.33 23.41 17.56 
#>   181 175.1  37.1    99  61.2  45.1  26.2    58 157.1   177    77   136    68 
#> 16.46 21.91 12.52 21.19 10.12 17.42 15.77 19.34 15.10 12.53  7.27 21.83 20.62 
#>  29.1  61.3   139 111.2 181.1   164 101.1 157.2   190    69   150 157.3   194 
#> 15.45 10.12 21.49 17.45 16.46 23.60  9.97 15.10 20.81 23.23 20.33 15.10 22.40 
#>   149 159.1 111.3    51  24.1 105.2    70  43.2    30 177.1  18.1 159.2   187 
#>  8.37 10.55 17.45 18.23 23.89 19.75  7.38 12.10 17.43 12.53 15.21 10.55  9.92 
#>   113    72   182    38   109   193    48   152 152.1   198   176   147   174 
#> 22.86 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1    27   118    83   135    53    62    17   191   121   162    95  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1  83.1   200   104 191.1   116   137    87   122    34 104.1   148  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   160    67   142 174.1    19    47   185  19.1 182.1 135.1 104.2   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    35  64.1     1 191.2   146 174.2 116.1 135.2  48.1 118.1 160.1 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   102    94 142.1     9 176.2   132    22    12 116.2  64.2     3 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.3  83.2 116.3  95.1  67.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01305825                0.70891359                0.32371763 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93029623              0.02386095             -0.17772699 
#>   grade_iii, Cure model 
#>             -0.03988936 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 158   20.14      1  74        1         0
#> 86    23.81      1  58        0         1
#> 130   16.47      1  53        0         1
#> 50    10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 133   14.65      1  57        0         0
#> 49    12.19      1  48        1         0
#> 140   12.68      1  59        1         0
#> 6     15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 124    9.73      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 23    16.92      1  61        0         0
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 154   12.63      1  20        1         0
#> 145   10.07      1  65        1         0
#> 110   17.56      1  65        0         1
#> 88    18.37      1  47        0         0
#> 127    3.53      1  62        0         1
#> 139.1 21.49      1  63        1         0
#> 107   11.18      1  54        1         0
#> 55    19.34      1  69        0         1
#> 93    10.33      1  52        0         1
#> 188   16.16      1  46        0         1
#> 129.1 23.41      1  53        1         0
#> 40    18.00      1  28        1         0
#> 42    12.43      1  49        0         1
#> 8     18.43      1  32        0         0
#> 23.1  16.92      1  61        0         0
#> 78    23.88      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 145.1 10.07      1  65        1         0
#> 50.1  10.02      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 78.1  23.88      1  43        0         0
#> 110.1 17.56      1  65        0         1
#> 99    21.19      1  38        0         1
#> 85    16.44      1  36        0         0
#> 16     8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 29.1  15.45      1  68        1         0
#> 197   21.60      1  69        1         0
#> 29.2  15.45      1  68        1         0
#> 29.3  15.45      1  68        1         0
#> 177   12.53      1  75        0         0
#> 6.1   15.64      1  39        0         0
#> 85.1  16.44      1  36        0         0
#> 76    19.22      1  54        0         1
#> 59    10.16      1  NA        1         0
#> 145.2 10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 18    15.21      1  49        1         0
#> 29.4  15.45      1  68        1         0
#> 175   21.91      1  43        0         0
#> 175.1 21.91      1  43        0         0
#> 30    17.43      1  78        0         0
#> 129.2 23.41      1  53        1         0
#> 187    9.92      1  39        1         0
#> 150.1 20.33      1  48        0         0
#> 15    22.68      1  48        0         0
#> 40.1  18.00      1  28        1         0
#> 188.1 16.16      1  46        0         1
#> 70     7.38      1  30        1         0
#> 197.1 21.60      1  69        1         0
#> 68    20.62      1  44        0         0
#> 66    22.13      1  53        0         0
#> 61    10.12      1  36        0         1
#> 70.1   7.38      1  30        1         0
#> 180   14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 150.2 20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 124.1  9.73      1  NA        1         0
#> 145.3 10.07      1  65        1         0
#> 23.2  16.92      1  61        0         0
#> 18.1  15.21      1  49        1         0
#> 30.1  17.43      1  78        0         0
#> 195   11.76      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 8.1   18.43      1  32        0         0
#> 128   20.35      1  35        0         1
#> 66.1  22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 168.1 23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 29.5  15.45      1  68        1         0
#> 81    14.06      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 5     16.43      1  51        0         1
#> 61.1  10.12      1  36        0         1
#> 136.1 21.83      1  43        0         1
#> 57    14.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 140.1 12.68      1  59        1         0
#> 58    19.34      1  39        0         0
#> 167   15.55      1  56        1         0
#> 99.1  21.19      1  38        0         1
#> 171   16.57      1  41        0         1
#> 52    10.42      1  52        0         1
#> 167.1 15.55      1  56        1         0
#> 189.1 10.51      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 180.1 14.82      1  37        0         0
#> 128.1 20.35      1  35        0         1
#> 164   23.60      1  76        0         1
#> 10.1  10.53      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 26    15.77      1  49        0         1
#> 86.1  23.81      1  58        0         1
#> 122   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 64    24.00      0  43        0         0
#> 138   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 27.1  24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 163   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 19    24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 67    24.00      0  25        0         0
#> 141.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 186   24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 173.1 24.00      0  19        0         1
#> 98.1  24.00      0  34        1         0
#> 71    24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 21.1  24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 71.1  24.00      0  51        0         0
#> 21.2  24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 53    24.00      0  32        0         1
#> 120.1 24.00      0  68        0         1
#> 48.1  24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 118.1 24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 172   24.00      0  41        0         0
#> 74.2  24.00      0  43        0         1
#> 200.1 24.00      0  64        0         0
#> 83    24.00      0   6        0         0
#> 12    24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 80    24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 156   24.00      0  50        1         0
#> 31.1  24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 98.2  24.00      0  34        1         0
#> 122.1 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 95.1  24.00      0  68        0         1
#> 47.1  24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 84.1  24.00      0  39        0         1
#> 75    24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 84.2  24.00      0  39        0         1
#> 182   24.00      0  35        0         0
#> 87.1  24.00      0  27        0         0
#> 160.1 24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 27.2  24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 31.2  24.00      0  36        0         1
#> 67.1  24.00      0  25        0         0
#> 62    24.00      0  71        0         0
#> 95.2  24.00      0  68        0         1
#> 147.1 24.00      0  76        1         0
#> 146.1 24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 191.1 24.00      0  60        0         1
#> 72.1  24.00      0  40        0         1
#> 121   24.00      0  57        1         0
#> 147.2 24.00      0  76        1         0
#> 118.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.930         NA        NA      NA
#> 2 age, Cure model           0.0239        NA        NA      NA
#> 3 grade_ii, Cure model     -0.178         NA        NA      NA
#> 4 grade_iii, Cure model    -0.0399        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0131        NA        NA      NA
#> 2 grade_ii, Survival model    0.709         NA        NA      NA
#> 3 grade_iii, Survival model   0.324         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93030           0.02386          -0.17773          -0.03989  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93029623       0.02386095      -0.17772699      -0.03988936 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01305825       0.70891359       0.32371763 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.1805655181 0.0044737818 0.3613359827 0.1253748458 0.6348342473
#>   [6] 0.7584888930 0.6963999867 0.4725403124 0.0965077525 0.1563232002
#>  [11] 0.3197280448 0.5190715124 0.0246072262 0.7211231804 0.8596154748
#>  [16] 0.2807643284 0.2524635964 0.9871056424 0.0965077525 0.7710080645
#>  [21] 0.1978766087 0.8213686773 0.4271967955 0.0246072262 0.2622022175
#>  [26] 0.7459520171 0.2336877351 0.3197280448 0.0007748585 0.8596154748
#>  [31] 0.4495306864 0.0007748585 0.2807643284 0.1107912305 0.3829804041
#>  [36] 0.9230562009 0.6470519677 0.5190715124 0.0824513265 0.5190715124
#>  [41] 0.5190715124 0.7334719945 0.4725403124 0.3829804041 0.2243648265
#>  [46] 0.8596154748 0.3721216834 0.6715873680 0.5872679314 0.5190715124
#>  [51] 0.0557165999 0.0557165999 0.2998419304 0.0246072262 0.9101825388
#>  [56] 0.1563232002 0.0382478040 0.2622022175 0.4271967955 0.9489100435
#>  [61] 0.0824513265 0.1330206965 0.0438333266 0.8341477025 0.9489100435
#>  [66] 0.6108736668 0.1891288181 0.1563232002 0.0101647651 0.8596154748
#>  [71] 0.3197280448 0.5872679314 0.2998419304 0.9742757853 0.2336877351
#>  [76] 0.1408636416 0.0438333266 0.4160232927 0.0101647651 0.7835264732
#>  [81] 0.5190715124 0.6839533350 0.0688060364 0.4048486750 0.8341477025
#>  [86] 0.0688060364 0.6592931916 0.6963999867 0.1978766087 0.4957937501
#>  [91] 0.1107912305 0.3506485986 0.8086488353 0.4957937501 0.9360117272
#>  [96] 0.6108736668 0.1408636416 0.0188488537 0.7835264732 0.1978766087
#> [101] 0.4609965841 0.0044737818 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   158    86   130    90   133    49   140     6   139   150    23    29   129 
#> 20.14 23.81 16.47 20.94 14.65 12.19 12.68 15.64 21.49 20.33 16.92 15.45 23.41 
#>   154   145   110    88   127 139.1   107    55    93   188 129.1    40    42 
#> 12.63 10.07 17.56 18.37  3.53 21.49 11.18 19.34 10.33 16.16 23.41 18.00 12.43 
#>     8  23.1    78 145.1   100  78.1 110.1    99    85    16    96  29.1   197 
#> 18.43 16.92 23.88 10.07 16.07 23.88 17.56 21.19 16.44  8.71 14.54 15.45 21.60 
#>  29.2  29.3   177   6.1  85.1    76 145.2   181    13    18  29.4   175 175.1 
#> 15.45 15.45 12.53 15.64 16.44 19.22 10.07 16.46 14.34 15.21 15.45 21.91 21.91 
#>    30 129.2   187 150.1    15  40.1 188.1    70 197.1    68    66    61  70.1 
#> 17.43 23.41  9.92 20.33 22.68 18.00 16.16  7.38 21.60 20.62 22.13 10.12  7.38 
#>   180   166 150.2   168 145.3  23.2  18.1  30.1    91   8.1   128  66.1    79 
#> 14.82 19.98 20.33 23.72 10.07 16.92 15.21 17.43  5.33 18.43 20.35 22.13 16.23 
#> 168.1    10  29.5    81   136     5  61.1 136.1    57 140.1    58   167  99.1 
#> 23.72 10.53 15.45 14.06 21.83 16.43 10.12 21.83 14.46 12.68 19.34 15.55 21.19 
#>   171    52 167.1   149 180.1 128.1   164  10.1  58.1    26  86.1   122   165 
#> 16.57 10.42 15.55  8.37 14.82 20.35 23.60 10.53 19.34 15.77 23.81 24.00 24.00 
#>    48   103    64   138    27  27.1   141    72   163    34   120   173    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    98    67 141.1    74    21    84   186   132 173.1  98.1    71   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1   160   193   109   135  71.1  21.2    20    53 120.1  48.1    35   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    47 118.1  74.1   200   172  74.2 200.1    83    12   146    95    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   112   156  31.1     3  98.2 122.1    94  95.1  47.1   148  84.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191  84.2   182  87.1 160.1 109.1  27.2   144  31.2  67.1    62  95.2 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1  83.1 191.1  72.1   121 147.2 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01481582                0.93163467                0.37177249 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.381032394            -0.007960621             0.044668450 
#>   grade_iii, Cure model 
#>             0.571197382 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 37    12.52      1  57        1         0
#> 129   23.41      1  53        1         0
#> 77     7.27      1  67        0         1
#> 57    14.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 85    16.44      1  36        0         0
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 58    19.34      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 86    23.81      1  58        0         1
#> 179   18.63      1  42        0         0
#> 105.1 19.75      1  60        0         0
#> 60.1  13.15      1  38        1         0
#> 140   12.68      1  59        1         0
#> 86.1  23.81      1  58        0         1
#> 179.1 18.63      1  42        0         0
#> 43    12.10      1  61        0         1
#> 39    15.59      1  37        0         1
#> 194   22.40      1  38        0         1
#> 88    18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 29    15.45      1  68        1         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 110   17.56      1  65        0         1
#> 128.1 20.35      1  35        0         1
#> 6     15.64      1  39        0         0
#> 18    15.21      1  49        1         0
#> 61    10.12      1  36        0         1
#> 39.1  15.59      1  37        0         1
#> 99    21.19      1  38        0         1
#> 190   20.81      1  42        1         0
#> 61.1  10.12      1  36        0         1
#> 130   16.47      1  53        0         1
#> 85.1  16.44      1  36        0         0
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 6.1   15.64      1  39        0         0
#> 68    20.62      1  44        0         0
#> 133   14.65      1  57        0         0
#> 15    22.68      1  48        0         0
#> 85.2  16.44      1  36        0         0
#> 187    9.92      1  39        1         0
#> 51    18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 199   19.81      1  NA        0         1
#> 57.1  14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 149.1  8.37      1  33        1         0
#> 99.1  21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 8     18.43      1  32        0         0
#> 37.1  12.52      1  57        1         0
#> 128.2 20.35      1  35        0         1
#> 125   15.65      1  67        1         0
#> 57.2  14.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 106   16.67      1  49        1         0
#> 170   19.54      1  43        0         1
#> 10    10.53      1  34        0         0
#> 79.1  16.23      1  54        1         0
#> 51.1  18.23      1  83        0         1
#> 123   13.00      1  44        1         0
#> 37.2  12.52      1  57        1         0
#> 37.3  12.52      1  57        1         0
#> 91.1   5.33      1  61        0         1
#> 77.1   7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 171   16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 124    9.73      1  NA        1         0
#> 57.3  14.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 166   19.98      1  48        0         0
#> 180   14.82      1  37        0         0
#> 76    19.22      1  54        0         1
#> 187.1  9.92      1  39        1         0
#> 195   11.76      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 159   10.55      1  50        0         1
#> 117   17.46      1  26        0         1
#> 24.1  23.89      1  38        0         0
#> 86.2  23.81      1  58        0         1
#> 50.1  10.02      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 133.1 14.65      1  57        0         0
#> 5     16.43      1  51        0         1
#> 42.1  12.43      1  49        0         1
#> 164   23.60      1  76        0         1
#> 85.3  16.44      1  36        0         0
#> 58.1  19.34      1  39        0         0
#> 41    18.02      1  40        1         0
#> 106.1 16.67      1  49        1         0
#> 157   15.10      1  47        0         0
#> 184.1 17.77      1  38        0         0
#> 149.2  8.37      1  33        1         0
#> 179.2 18.63      1  42        0         0
#> 24.2  23.89      1  38        0         0
#> 96.1  14.54      1  33        0         1
#> 107   11.18      1  54        1         0
#> 158   20.14      1  74        1         0
#> 10.1  10.53      1  34        0         0
#> 55.1  19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 2     24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 147   24.00      0  76        1         0
#> 112   24.00      0  61        0         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 80    24.00      0  41        0         0
#> 174.1 24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 67    24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 174.2 24.00      0  49        1         0
#> 119   24.00      0  17        0         0
#> 103   24.00      0  56        1         0
#> 191   24.00      0  60        0         1
#> 31    24.00      0  36        0         1
#> 112.1 24.00      0  61        0         0
#> 67.1  24.00      0  25        0         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 161   24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 11    24.00      0  42        0         1
#> 75.1  24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 200   24.00      0  64        0         0
#> 73    24.00      0  NA        0         1
#> 17    24.00      0  38        0         1
#> 147.1 24.00      0  76        1         0
#> 54.1  24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 151   24.00      0  42        0         0
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 1.1   24.00      0  23        1         0
#> 131   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 28.1  24.00      0  67        1         0
#> 112.2 24.00      0  61        0         0
#> 198.1 24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 143   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 161.1 24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 198.2 24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 54.2  24.00      0  53        1         0
#> 21    24.00      0  47        0         0
#> 95.1  24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 20.1  24.00      0  46        1         0
#> 200.1 24.00      0  64        0         0
#> 135   24.00      0  58        1         0
#> 182   24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 163   24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 116.1 24.00      0  58        0         1
#> 165   24.00      0  47        0         0
#> 135.1 24.00      0  58        1         0
#> 143.1 24.00      0  51        0         0
#> 20.2  24.00      0  46        1         0
#> 53    24.00      0  32        0         1
#> 53.1  24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 198.3 24.00      0  66        0         1
#> 156   24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 109.1 24.00      0  48        0         0
#> 33.1  24.00      0  53        0         0
#> 173.1 24.00      0  19        0         1
#> 21.1  24.00      0  47        0         0
#> 54.3  24.00      0  53        1         0
#> 95.2  24.00      0  68        0         1
#> 84    24.00      0  39        0         1
#> 186   24.00      0  45        1         0
#> 191.1 24.00      0  60        0         1
#> 152.2 24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 161.2 24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.381          NA        NA      NA
#> 2 age, Cure model         -0.00796        NA        NA      NA
#> 3 grade_ii, Cure model     0.0447         NA        NA      NA
#> 4 grade_iii, Cure model    0.571          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0148        NA        NA      NA
#> 2 grade_ii, Survival model    0.932         NA        NA      NA
#> 3 grade_iii, Survival model   0.372         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.381032         -0.007961          0.044668          0.571197  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 260.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.381032394     -0.007960621      0.044668450      0.571197382 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01481582       0.93163467       0.37177249 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.630760573 0.115874879 0.688193991 0.024065316 0.942571718 0.573694766
#>   [7] 0.976979829 0.348097582 0.897082044 0.619017331 0.137990049 0.077361050
#>  [13] 0.008062588 0.177212027 0.115874879 0.630760573 0.676670042 0.008062588
#>  [19] 0.177212027 0.767432243 0.462806446 0.034821302 0.212072569 0.732880232
#>  [25] 0.484450123 0.095454259 0.420052563 0.279012700 0.077361050 0.441325391
#>  [31] 0.495413712 0.826189964 0.462806446 0.052944558 0.064930422 0.826189964
#>  [37] 0.328216420 0.348097582 0.399219471 0.861824054 0.441325391 0.071015438
#>  [43] 0.528477606 0.029191052 0.348097582 0.873720092 0.221396066 0.250184413
#>  [49] 0.573694766 0.665134470 0.897082044 0.052944558 0.001392778 0.202950268
#>  [55] 0.688193991 0.077361050 0.430681195 0.573694766 0.931159559 0.259710729
#>  [61] 0.298978973 0.130407639 0.802594225 0.399219471 0.221396066 0.653652148
#>  [67] 0.688193991 0.688193991 0.976979829 0.942571718 0.965513274 0.318326771
#>  [73] 0.551034856 0.573694766 0.040616393 0.108898678 0.517349848 0.168779575
#>  [79] 0.873720092 0.328216420 0.137990049 0.046830054 0.790846068 0.288993518
#>  [85] 0.001392778 0.008062588 0.849886728 0.528477606 0.388584402 0.732880232
#>  [91] 0.018766877 0.348097582 0.137990049 0.240560948 0.298978973 0.506322191
#>  [97] 0.259710729 0.897082044 0.177212027 0.001392778 0.551034856 0.779151522
#> [103] 0.102142805 0.802594225 0.137990049 0.755786338 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    60   105    37   129    77    57    91    85   149    81    58   128    86 
#> 13.15 19.75 12.52 23.41  7.27 14.46  5.33 16.44  8.37 14.06 19.34 20.35 23.81 
#>   179 105.1  60.1   140  86.1 179.1    43    39   194    88    42    29   150 
#> 18.63 19.75 13.15 12.68 23.81 18.63 12.10 15.59 22.40 18.37 12.43 15.45 20.33 
#>    26   110 128.1     6    18    61  39.1    99   190  61.1   130  85.1    79 
#> 15.77 17.56 20.35 15.64 15.21 10.12 15.59 21.19 20.81 10.12 16.47 16.44 16.23 
#>   101   6.1    68   133    15  85.2   187    51   134  57.1    14 149.1  99.1 
#>  9.97 15.64 20.62 14.65 22.68 16.44  9.92 18.23 17.81 14.46 12.89  8.37 21.19 
#>    24     8  37.1 128.2   125  57.2    70   184   106   170    10  79.1  51.1 
#> 23.89 18.43 12.52 20.35 15.65 14.46  7.38 17.77 16.67 19.54 10.53 16.23 18.23 
#>   123  37.2  37.3  91.1  77.1    25   171    96  57.3   175   166   180    76 
#> 13.00 12.52 12.52  5.33  7.27  6.32 16.57 14.54 14.46 21.91 19.98 14.82 19.22 
#> 187.1 130.1    55   153   159   117  24.1  86.2   145 133.1     5  42.1   164 
#>  9.92 16.47 19.34 21.33 10.55 17.46 23.89 23.81 10.07 14.65 16.43 12.43 23.60 
#>  85.3  58.1    41 106.1   157 184.1 149.2 179.2  24.2  96.1   107   158  10.1 
#> 16.44 19.34 18.02 16.67 15.10 17.77  8.37 18.63 23.89 14.54 11.18 20.14 10.53 
#>  55.1    56     2   174   147   112   152    28    80 174.1    34   126     1 
#> 19.34 12.21 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    71 152.1 174.2   119   103   191    31 112.1  67.1   146   116   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    75    11  75.1    20    54   200    17 147.1  54.1   198   151   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   1.1   131   173    35  28.1 112.2 198.1    94   143    33 161.1   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.2    74  54.2    21  95.1   178  20.1 200.1   135   182    82   163 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1   165 135.1 143.1  20.2    53  53.1   185 198.3   156     9 109.1  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1  21.1  54.3  95.2    84   186 191.1 152.2   121 161.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003847724               1.104402134               0.604192277 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.43602189              0.02518405              0.02665437 
#>   grade_iii, Cure model 
#>              1.54428548 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 85    16.44      1  36        0         0
#> 158   20.14      1  74        1         0
#> 60    13.15      1  38        1         0
#> 51    18.23      1  83        0         1
#> 183    9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 59    10.16      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 171   16.57      1  41        0         1
#> 36    21.19      1  48        0         1
#> 166   19.98      1  48        0         0
#> 177   12.53      1  75        0         0
#> 59.1  10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 85.1  16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 55    19.34      1  69        0         1
#> 106   16.67      1  49        1         0
#> 43    12.10      1  61        0         1
#> 133   14.65      1  57        0         0
#> 26.1  15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 90    20.94      1  50        0         1
#> 168   23.72      1  70        0         0
#> 128   20.35      1  35        0         1
#> 188   16.16      1  46        0         1
#> 29    15.45      1  68        1         0
#> 184   17.77      1  38        0         0
#> 194.1 22.40      1  38        0         1
#> 52    10.42      1  52        0         1
#> 194.2 22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 149    8.37      1  33        1         0
#> 123   13.00      1  44        1         0
#> 25     6.32      1  34        1         0
#> 195   11.76      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 113   22.86      1  34        0         0
#> 184.1 17.77      1  38        0         0
#> 133.1 14.65      1  57        0         0
#> 111   17.45      1  47        0         1
#> 157   15.10      1  47        0         0
#> 15.1  22.68      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 59.2  10.16      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 140   12.68      1  59        1         0
#> 8     18.43      1  32        0         0
#> 40    18.00      1  28        1         0
#> 167   15.55      1  56        1         0
#> 188.1 16.16      1  46        0         1
#> 110   17.56      1  65        0         1
#> 45    17.42      1  54        0         1
#> 57.1  14.46      1  45        0         1
#> 111.1 17.45      1  47        0         1
#> 51.1  18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 192   16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 111.2 17.45      1  47        0         1
#> 66    22.13      1  53        0         0
#> 10    10.53      1  34        0         0
#> 39    15.59      1  37        0         1
#> 111.3 17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 56    12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 41    18.02      1  40        1         0
#> 78    23.88      1  43        0         0
#> 58    19.34      1  39        0         0
#> 127    3.53      1  62        0         1
#> 96.1  14.54      1  33        0         1
#> 60.1  13.15      1  38        1         0
#> 78.1  23.88      1  43        0         0
#> 158.1 20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 170   19.54      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 51.2  18.23      1  83        0         1
#> 140.2 12.68      1  59        1         0
#> 96.2  14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 171.1 16.57      1  41        0         1
#> 140.3 12.68      1  59        1         0
#> 164   23.60      1  76        0         1
#> 96.3  14.54      1  33        0         1
#> 24    23.89      1  38        0         0
#> 25.1   6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 41.1  18.02      1  40        1         0
#> 199   19.81      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 37    12.52      1  57        1         0
#> 184.2 17.77      1  38        0         0
#> 139.1 21.49      1  63        1         0
#> 189   10.51      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 199.1 19.81      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 194.3 22.40      1  38        0         1
#> 145.1 10.07      1  65        1         0
#> 55.1  19.34      1  69        0         1
#> 90.1  20.94      1  50        0         1
#> 51.3  18.23      1  83        0         1
#> 93    10.33      1  52        0         1
#> 141   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 9     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 7.1   24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 28    24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 73    24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 87    24.00      0  27        0         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 98    24.00      0  34        1         0
#> 1     24.00      0  23        1         0
#> 72    24.00      0  40        0         1
#> 115   24.00      0  NA        1         0
#> 115.1 24.00      0  NA        1         0
#> 173   24.00      0  19        0         1
#> 72.1  24.00      0  40        0         1
#> 196   24.00      0  19        0         0
#> 80.1  24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 131   24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 21    24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 87.1  24.00      0  27        0         0
#> 73.1  24.00      0  NA        0         1
#> 121   24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 38    24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 3     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 34    24.00      0  36        0         0
#> 2.1   24.00      0   9        0         0
#> 87.2  24.00      0  27        0         0
#> 144   24.00      0  28        0         1
#> 163   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 28.1  24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 83.1  24.00      0   6        0         0
#> 185.1 24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 182   24.00      0  35        0         0
#> 160   24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 196.1 24.00      0  19        0         0
#> 46    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 118.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 94    24.00      0  51        0         1
#> 112.2 24.00      0  61        0         0
#> 67    24.00      0  25        0         0
#> 131.2 24.00      0  66        0         0
#> 144.1 24.00      0  28        0         1
#> 48    24.00      0  31        1         0
#> 163.1 24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 28.2  24.00      0  67        1         0
#> 121.2 24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 160.1 24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 152   24.00      0  36        0         1
#> 98.2  24.00      0  34        1         0
#> 80.2  24.00      0  41        0         0
#> 7.2   24.00      0  37        1         0
#> 116.2 24.00      0  58        0         1
#> 126.1 24.00      0  48        0         0
#> 185.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.44          NA        NA      NA
#> 2 age, Cure model           0.0252        NA        NA      NA
#> 3 grade_ii, Cure model      0.0267        NA        NA      NA
#> 4 grade_iii, Cure model     1.54          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00385        NA        NA      NA
#> 2 grade_ii, Survival model   1.10           NA        NA      NA
#> 3 grade_iii, Survival model  0.604          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.43602           0.02518           0.02665           1.54429  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 229.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.43602189       0.02518405       0.02665437       1.54428548 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003847724      1.104402134      0.604192277 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.23527604 0.67617898 0.39235478 0.84331748 0.51139317 0.96944489
#>   [7] 0.13073109 0.65994820 0.33689484 0.41263396 0.89101198 0.30083564
#>  [13] 0.67617898 0.38134897 0.72363183 0.43311859 0.65166698 0.91103993
#>  [19] 0.77708478 0.72363183 0.46248101 0.34843211 0.06671023 0.37039649
#>  [25] 0.70795341 0.75451536 0.57507677 0.23527604 0.92432066 0.23527604
#>  [31] 0.20366120 0.06671023 0.97569464 0.85746934 0.98187874 0.50163018
#>  [37] 0.16891883 0.57507677 0.77708478 0.60990733 0.76204700 0.20366120
#>  [43] 0.46248101 0.82140852 0.18762990 0.86448475 0.48191602 0.56630793
#>  [49] 0.74688295 0.70795341 0.60114412 0.64322495 0.82140852 0.60990733
#>  [55] 0.51139317 0.79218010 0.67617898 0.95687813 0.60990733 0.28684514
#>  [61] 0.91767735 0.73913714 0.60990733 0.32514795 0.90438083 0.83601382
#>  [67] 0.54843676 0.03053279 0.43311859 0.99395811 0.79218010 0.84331748
#>  [73] 0.03053279 0.39235478 0.86448475 0.42294456 0.76204700 0.51139317
#>  [79] 0.86448475 0.79218010 0.95043848 0.65994820 0.86448475 0.10882526
#>  [85] 0.79218010 0.00959611 0.98187874 0.49175676 0.54843676 0.69997563
#>  [91] 0.89773182 0.57507677 0.30083564 0.95687813 0.93753654 0.15046031
#>  [97] 0.23527604 0.93753654 0.43311859 0.34843211 0.51139317 0.93094028
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   194    85   158    60    51   183    69   171    36   166   177   139  85.1 
#> 22.40 16.44 20.14 13.15 18.23  9.24 23.23 16.57 21.19 19.98 12.53 21.49 16.44 
#>   150    26    55   106    43   133  26.1    97    90   168   128   188    29 
#> 20.33 15.77 19.34 16.67 12.10 14.65 15.77 19.14 20.94 23.72 20.35 16.16 15.45 
#>   184 194.1    52 194.2    15 168.1   149   123    25   108   113 184.1 133.1 
#> 17.77 22.40 10.42 22.40 22.68 23.72  8.37 13.00  6.32 18.29 22.86 17.77 14.65 
#>   111   157  15.1  97.1    57    63   140     8    40   167 188.1   110    45 
#> 17.45 15.10 22.68 19.14 14.46 22.77 12.68 18.43 18.00 15.55 16.16 17.56 17.42 
#>  57.1 111.1  51.1    96   192   187 111.2    66    10    39 111.3   153    56 
#> 14.46 17.45 18.23 14.54 16.44  9.92 17.45 22.13 10.53 15.59 17.45 21.33 12.21 
#>    13    41    78    58   127  96.1  60.1  78.1 158.1 140.1   170 157.1  51.2 
#> 14.34 18.02 23.88 19.34  3.53 14.54 13.15 23.88 20.14 12.68 19.54 15.10 18.23 
#> 140.2  96.2   101 171.1 140.3   164  96.3    24  25.1    88  41.1     5    37 
#> 12.68 14.54  9.97 16.57 12.68 23.60 14.54 23.89  6.32 18.37 18.02 16.43 12.52 
#> 184.2 139.1 187.1   145    92 194.3 145.1  55.1  90.1  51.3    93   141    27 
#> 17.77 21.49  9.92 10.07 22.92 22.40 10.07 19.34 20.94 18.23 10.33 24.00 24.00 
#>   116     9     7   7.1     2    28   193    80    44    87    22    83    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    72   173  72.1   196  80.1   112   131  98.1    21   172   122   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1  87.1   121 116.1   156   146    12    38 121.1     3   118   185 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   2.1  87.2   144   163   137  28.1    65   165  83.1 185.1 131.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   182   160   126 196.1    46    19 118.1   132    94 112.2    67 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1    48 163.1   151  28.2 121.2    54 160.1   178    84   152  98.2  80.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.2 116.2 126.1 185.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01254847                0.35051736                0.47725085 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91291993              0.01651989              0.17770238 
#>   grade_iii, Cure model 
#>              0.97825877 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 169   22.41      1  46        0         0
#> 139   21.49      1  63        1         0
#> 168   23.72      1  70        0         0
#> 108   18.29      1  39        0         1
#> 192   16.44      1  31        1         0
#> 170   19.54      1  43        0         1
#> 85    16.44      1  36        0         0
#> 93    10.33      1  52        0         1
#> 136   21.83      1  43        0         1
#> 105   19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 158   20.14      1  74        1         0
#> 89    11.44      1  NA        0         0
#> 134   17.81      1  47        1         0
#> 77     7.27      1  67        0         1
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 6     15.64      1  39        0         0
#> 37    12.52      1  57        1         0
#> 4     17.64      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 179   18.63      1  42        0         0
#> 136.1 21.83      1  43        0         1
#> 153   21.33      1  55        1         0
#> 40    18.00      1  28        1         0
#> 58    19.34      1  39        0         0
#> 177   12.53      1  75        0         0
#> 92    22.92      1  47        0         1
#> 164   23.60      1  76        0         1
#> 184   17.77      1  38        0         0
#> 79    16.23      1  54        1         0
#> 49.1  12.19      1  48        1         0
#> 187    9.92      1  39        1         0
#> 24.1  23.89      1  38        0         0
#> 108.1 18.29      1  39        0         1
#> 108.2 18.29      1  39        0         1
#> 153.1 21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 195   11.76      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 155   13.08      1  26        0         0
#> 6.1   15.64      1  39        0         0
#> 190   20.81      1  42        1         0
#> 123   13.00      1  44        1         0
#> 45    17.42      1  54        0         1
#> 10.2  10.53      1  34        0         0
#> 133   14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 179.1 18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 171   16.57      1  41        0         1
#> 16     8.71      1  71        0         1
#> 43    12.10      1  61        0         1
#> 60    13.15      1  38        1         0
#> 189   10.51      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 57    14.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 57.1  14.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 16.1   8.71      1  71        0         1
#> 43.1  12.10      1  61        0         1
#> 41    18.02      1  40        1         0
#> 60.1  13.15      1  38        1         0
#> 101    9.97      1  10        0         1
#> 99    21.19      1  38        0         1
#> 79.1  16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 30    17.43      1  78        0         0
#> 130   16.47      1  53        0         1
#> 66    22.13      1  53        0         0
#> 106   16.67      1  49        1         0
#> 184.1 17.77      1  38        0         0
#> 123.1 13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 168.1 23.72      1  70        0         0
#> 129.2 23.41      1  53        1         0
#> 40.1  18.00      1  28        1         0
#> 4.1   17.64      1  NA        0         1
#> 136.2 21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 187.1  9.92      1  39        1         0
#> 153.2 21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 61    10.12      1  36        0         1
#> 63    22.77      1  31        1         0
#> 99.1  21.19      1  38        0         1
#> 61.1  10.12      1  36        0         1
#> 169.1 22.41      1  46        0         0
#> 13.1  14.34      1  54        0         1
#> 70     7.38      1  30        1         0
#> 85.1  16.44      1  36        0         0
#> 149.1  8.37      1  33        1         0
#> 100   16.07      1  60        0         0
#> 127.2  3.53      1  62        0         1
#> 26    15.77      1  49        0         1
#> 23    16.92      1  61        0         0
#> 136.3 21.83      1  43        0         1
#> 76.1  19.22      1  54        0         1
#> 168.2 23.72      1  70        0         0
#> 70.1   7.38      1  30        1         0
#> 101.1  9.97      1  10        0         1
#> 93.1  10.33      1  52        0         1
#> 23.1  16.92      1  61        0         0
#> 39    15.59      1  37        0         1
#> 10.3  10.53      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 177.1 12.53      1  75        0         0
#> 99.2  21.19      1  38        0         1
#> 21    24.00      0  47        0         0
#> 19    24.00      0  57        0         1
#> 102   24.00      0  49        0         0
#> 27    24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 71.1  24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 20    24.00      0  46        1         0
#> 17    24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 83    24.00      0   6        0         0
#> 135   24.00      0  58        1         0
#> 71.2  24.00      0  51        0         0
#> 193.1 24.00      0  45        0         1
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 82    24.00      0  34        0         0
#> 28.1  24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 137   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 2     24.00      0   9        0         0
#> 118   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 28.2  24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 102.2 24.00      0  49        0         0
#> 95    24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 38    24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 67.1  24.00      0  25        0         0
#> 19.1  24.00      0  57        0         1
#> 65    24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 67.2  24.00      0  25        0         0
#> 87    24.00      0  27        0         0
#> 3     24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 28.3  24.00      0  67        1         0
#> 64    24.00      0  43        0         0
#> 109.1 24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 152   24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 82.1  24.00      0  34        0         0
#> 84.1  24.00      0  39        0         1
#> 33    24.00      0  53        0         0
#> 116.1 24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 119   24.00      0  17        0         0
#> 174   24.00      0  49        1         0
#> 143   24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 144.1 24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 20.1  24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 152.1 24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 137.1 24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 33.1  24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 178.1 24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 109.2 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.913         NA        NA      NA
#> 2 age, Cure model           0.0165        NA        NA      NA
#> 3 grade_ii, Cure model      0.178         NA        NA      NA
#> 4 grade_iii, Cure model     0.978         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0125        NA        NA      NA
#> 2 grade_ii, Survival model    0.351         NA        NA      NA
#> 3 grade_iii, Survival model   0.477         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91292           0.01652           0.17770           0.97826  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 253.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91291993       0.01651989       0.17770238       0.97825877 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01254847       0.35051736       0.47725085 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.1495183930 0.0493151104 0.0967654969 0.0044966303 0.2432714114
#>   [6] 0.4029628864 0.1822700677 0.4029628864 0.7853284897 0.0703565479
#>  [11] 0.1738184867 0.7385831326 0.1655788797 0.2968331213 0.9518117393
#>  [16] 0.0207150976 0.0008979413 0.6923003397 0.5055655937 0.6693325739
#>  [21] 0.7385831326 0.2253562921 0.0703565479 0.1043843834 0.2788309666
#>  [26] 0.1907454638 0.6467792929 0.0364881940 0.0150172256 0.3060352981
#>  [31] 0.4432088926 0.6923003397 0.8565498358 0.0008979413 0.2432714114
#>  [36] 0.2432714114 0.1043843834 0.4329401006 0.6136265892 0.5055655937
#>  [41] 0.1575154769 0.6246956362 0.3436246636 0.7385831326 0.5376125205
#>  [46] 0.5700622302 0.2253562921 0.6807652166 0.3828967359 0.8801792551
#>  [51] 0.7153479886 0.5917967986 0.0207150976 0.5484771683 0.3245797568
#>  [56] 0.5484771683 0.9638846932 0.8801792551 0.7153479886 0.2696804302
#>  [61] 0.5917967986 0.8330046719 0.1269468620 0.4432088926 0.4637714278
#>  [66] 0.9638846932 0.3340174821 0.3929078704 0.0627926372 0.3728951740
#>  [71] 0.3060352981 0.6246956362 0.9040255902 0.0044966303 0.0207150976
#>  [76] 0.2788309666 0.0703565479 0.1993691892 0.8565498358 0.1043843834
#>  [81] 0.2165077243 0.8091756259 0.0428826788 0.1269468620 0.8091756259
#>  [86] 0.0493151104 0.5700622302 0.9279107722 0.4029628864 0.9040255902
#>  [91] 0.4844212092 0.9638846932 0.4949788810 0.3532808782 0.0703565479
#>  [96] 0.1993691892 0.0044966303 0.9279107722 0.8330046719 0.7853284897
#> [101] 0.3532808782 0.5268589132 0.7385831326 0.4637714278 0.6467792929
#> [106] 0.1269468620 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000
#> 
#> $Time
#>    90   169   139   168   108   192   170    85    93   136   105    10   158 
#> 20.94 22.41 21.49 23.72 18.29 16.44 19.54 16.44 10.33 21.83 19.75 10.53 20.14 
#>   134    77   129    24    49     6    37  10.1   179 136.1   153    40    58 
#> 17.81  7.27 23.41 23.89 12.19 15.64 12.52 10.53 18.63 21.83 21.33 18.00 19.34 
#>   177    92   164   184    79  49.1   187  24.1 108.1 108.2 153.1     5   155 
#> 12.53 22.92 23.60 17.77 16.23 12.19  9.92 23.89 18.29 18.29 21.33 16.43 13.08 
#>   6.1   190   123    45  10.2   133    13 179.1    56   171    16    43    60 
#> 15.64 20.81 13.00 17.42 10.53 14.65 14.34 18.63 12.21 16.57  8.71 12.10 13.15 
#> 129.1    57   111  57.1   127  16.1  43.1    41  60.1   101    99  79.1   188 
#> 23.41 14.46 17.45 14.46  3.53  8.71 12.10 18.02 13.15  9.97 21.19 16.23 16.16 
#> 127.1    30   130    66   106 184.1 123.1   149 168.1 129.2  40.1 136.2    76 
#>  3.53 17.43 16.47 22.13 16.67 17.77 13.00  8.37 23.72 23.41 18.00 21.83 19.22 
#> 187.1 153.2    97    61    63  99.1  61.1 169.1  13.1    70  85.1 149.1   100 
#>  9.92 21.33 19.14 10.12 22.77 21.19 10.12 22.41 14.34  7.38 16.44  8.37 16.07 
#> 127.2    26    23 136.3  76.1 168.2  70.1 101.1  93.1  23.1    39  10.3 188.1 
#>  3.53 15.77 16.92 21.83 19.22 23.72  7.38  9.97 10.33 16.92 15.59 10.53 16.16 
#> 177.1  99.2    21    19   102    27   193   109    71    48    44  71.1   121 
#> 12.53 21.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   148    20    17 102.1    28    83   135  71.2 193.1   131   185    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1   137    54     2   118   116   138  28.2    11 102.2    95    34   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   2.1  67.1  19.1    65    98  67.2    87     3    84  28.3    64 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   112   152   165  82.1  84.1    33 116.1    75   172 185.1   156   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   174   143   144 144.1     1  20.1   120    53 152.1   162  64.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1   104  33.1   142  34.1 178.1   176    22 176.1 109.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01562062                0.78846021                0.59276167 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.31462813              0.03314576             -0.59725414 
#>   grade_iii, Cure model 
#>              0.49741593 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 24    23.89      1  38        0         0
#> 41    18.02      1  40        1         0
#> 63    22.77      1  31        1         0
#> 170   19.54      1  43        0         1
#> 66    22.13      1  53        0         0
#> 43    12.10      1  61        0         1
#> 24.1  23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 108   18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 14    12.89      1  21        0         0
#> 68    20.62      1  44        0         0
#> 79    16.23      1  54        1         0
#> 150   20.33      1  48        0         0
#> 125   15.65      1  67        1         0
#> 29    15.45      1  68        1         0
#> 158   20.14      1  74        1         0
#> 58    19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 124    9.73      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 52    10.42      1  52        0         1
#> 187    9.92      1  39        1         0
#> 24.2  23.89      1  38        0         0
#> 136   21.83      1  43        0         1
#> 133   14.65      1  57        0         0
#> 177.1 12.53      1  75        0         0
#> 177.2 12.53      1  75        0         0
#> 51    18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 25     6.32      1  34        1         0
#> 167   15.55      1  56        1         0
#> 107   11.18      1  54        1         0
#> 159   10.55      1  50        0         1
#> 36    21.19      1  48        0         1
#> 63.1  22.77      1  31        1         0
#> 164   23.60      1  76        0         1
#> 106   16.67      1  49        1         0
#> 69    23.23      1  25        0         1
#> 190   20.81      1  42        1         0
#> 15    22.68      1  48        0         0
#> 8     18.43      1  32        0         0
#> 81    14.06      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 197   21.60      1  69        1         0
#> 108.1 18.29      1  39        0         1
#> 194   22.40      1  38        0         1
#> 177.3 12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 187.1  9.92      1  39        1         0
#> 171   16.57      1  41        0         1
#> 88.1  18.37      1  47        0         0
#> 127    3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 76    19.22      1  54        0         1
#> 113.1 22.86      1  34        0         0
#> 125.2 15.65      1  67        1         0
#> 99    21.19      1  38        0         1
#> 69.1  23.23      1  25        0         1
#> 169   22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 14.1  12.89      1  21        0         0
#> 77     7.27      1  67        0         1
#> 166   19.98      1  48        0         0
#> 91     5.33      1  61        0         1
#> 187.2  9.92      1  39        1         0
#> 8.1   18.43      1  32        0         0
#> 93    10.33      1  52        0         1
#> 99.1  21.19      1  38        0         1
#> 59    10.16      1  NA        1         0
#> 127.1  3.53      1  62        0         1
#> 99.2  21.19      1  38        0         1
#> 134   17.81      1  47        1         0
#> 123   13.00      1  44        1         0
#> 187.3  9.92      1  39        1         0
#> 52.1  10.42      1  52        0         1
#> 111   17.45      1  47        0         1
#> 149    8.37      1  33        1         0
#> 26    15.77      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 91.1   5.33      1  61        0         1
#> 166.1 19.98      1  48        0         0
#> 153   21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 188   16.16      1  46        0         1
#> 168   23.72      1  70        0         0
#> 105   19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 51.1  18.23      1  83        0         1
#> 97.1  19.14      1  65        0         1
#> 13    14.34      1  54        0         1
#> 76.1  19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 66.1  22.13      1  53        0         0
#> 16     8.71      1  71        0         1
#> 26.1  15.77      1  49        0         1
#> 93.1  10.33      1  52        0         1
#> 145   10.07      1  65        1         0
#> 49    12.19      1  48        1         0
#> 77.1   7.27      1  67        0         1
#> 81.1  14.06      1  34        0         0
#> 183    9.24      1  67        1         0
#> 188.1 16.16      1  46        0         1
#> 145.1 10.07      1  65        1         0
#> 43.1  12.10      1  61        0         1
#> 13.1  14.34      1  54        0         1
#> 93.2  10.33      1  52        0         1
#> 183.1  9.24      1  67        1         0
#> 180   14.82      1  37        0         0
#> 121   24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 144   24.00      0  28        0         1
#> 9.1   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 151   24.00      0  42        0         0
#> 72    24.00      0  40        0         1
#> 103.1 24.00      0  56        1         0
#> 147.1 24.00      0  76        1         0
#> 156   24.00      0  50        1         0
#> 198   24.00      0  66        0         1
#> 22    24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 152.1 24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 126   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 185   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 151.1 24.00      0  42        0         0
#> 174   24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 54    24.00      0  53        1         0
#> 71    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 22.1  24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 165.1 24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 174.1 24.00      0  49        1         0
#> 46    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 118.1 24.00      0  44        1         0
#> 121.1 24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 191   24.00      0  60        0         1
#> 95.1  24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 98    24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 46.1  24.00      0  71        0         0
#> 118.2 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 152.2 24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 72.1  24.00      0  40        0         1
#> 186.1 24.00      0  45        1         0
#> 72.2  24.00      0  40        0         1
#> 98.1  24.00      0  34        1         0
#> 109.1 24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 160.1 24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 173.2 24.00      0  19        0         1
#> 2.1   24.00      0   9        0         0
#> 87.1  24.00      0  27        0         0
#> 151.2 24.00      0  42        0         0
#> 75    24.00      0  21        1         0
#> 172.1 24.00      0  41        0         0
#> 34    24.00      0  36        0         0
#> 147.2 24.00      0  76        1         0
#> 2.2   24.00      0   9        0         0
#> 54.1  24.00      0  53        1         0
#> 178   24.00      0  52        1         0
#> 9.2   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 152.3 24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 191.1 24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.31          NA        NA      NA
#> 2 age, Cure model           0.0331        NA        NA      NA
#> 3 grade_ii, Cure model     -0.597         NA        NA      NA
#> 4 grade_iii, Cure model     0.497         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0156        NA        NA      NA
#> 2 grade_ii, Survival model    0.788         NA        NA      NA
#> 3 grade_iii, Survival model   0.593         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.31463           0.03315          -0.59725           0.49742  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 247.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.31462813       0.03314576      -0.59725414       0.49741593 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01562062       0.78846021       0.59276167 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6539609 0.1836751 0.7848048 0.4650823 0.6995593 0.5417931 0.9243567
#>   [8] 0.1836751 0.7509216 0.7627848 0.9520481 0.9009493 0.6455593 0.8281548
#>  [15] 0.6621392 0.8536322 0.8688748 0.6702063 0.7065975 0.8048468 0.9078219
#>  [22] 0.9370351 0.9607229 0.1836751 0.5680541 0.8762306 0.9078219 0.9078219
#>  [29] 0.7742336 0.7266528 0.9875161 0.8651050 0.9307507 0.9339085 0.6022021
#>  [36] 0.4650823 0.3593638 0.8096780 0.3853084 0.6370482 0.4968878 0.7388518
#>  [43] 0.8905128 0.8536322 0.5805946 0.7627848 0.5276025 0.9078219 0.4264987
#>  [50] 0.9607229 0.8144041 0.7509216 0.9950828 0.8190644 0.7135773 0.4264987
#>  [57] 0.8536322 0.6022021 0.3853084 0.5124870 0.8798805 0.9009493 0.9823738
#>  [64] 0.6777309 0.9900723 0.9607229 0.7388518 0.9431526 0.6022021 0.9950828
#>  [71] 0.6022021 0.7899992 0.8974962 0.9607229 0.9370351 0.7950740 0.9797421
#>  [78] 0.8453812 0.9900723 0.6777309 0.5918114 0.8411252 0.8325679 0.3191026
#>  [85] 0.6923365 0.7950740 0.7742336 0.7266528 0.8834907 0.7135773 0.8236429
#>  [92] 0.5417931 0.9770912 0.8453812 0.9431526 0.9550025 0.9210701 0.9823738
#>  [99] 0.8905128 0.9717315 0.8325679 0.9550025 0.9243567 0.8834907 0.9431526
#> [106] 0.9717315 0.8725588 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   128    24    41    63   170    66    43  24.1    88   108    61    14    68 
#> 20.35 23.89 18.02 22.77 19.54 22.13 12.10 23.89 18.37 18.29 10.12 12.89 20.62 
#>    79   150   125    29   158    58    30   177    52   187  24.2   136   133 
#> 16.23 20.33 15.65 15.45 20.14 19.34 17.43 12.53 10.42  9.92 23.89 21.83 14.65 
#> 177.1 177.2    51    97    25   167   107   159    36  63.1   164   106    69 
#> 12.53 12.53 18.23 19.14  6.32 15.55 11.18 10.55 21.19 22.77 23.60 16.67 23.23 
#>   190    15     8    81 125.1   197 108.1   194 177.3   113 187.1   171  88.1 
#> 20.81 22.68 18.43 14.06 15.65 21.60 18.29 22.40 12.53 22.86  9.92 16.57 18.37 
#>   127   130    76 113.1 125.2    99  69.1   169    57  14.1    77   166    91 
#>  3.53 16.47 19.22 22.86 15.65 21.19 23.23 22.41 14.46 12.89  7.27 19.98  5.33 
#> 187.2   8.1    93  99.1 127.1  99.2   134   123 187.3  52.1   111   149    26 
#>  9.92 18.43 10.33 21.19  3.53 21.19 17.81 13.00  9.92 10.42 17.45  8.37 15.77 
#>  91.1 166.1   153   100   188   168   105 111.1  51.1  97.1    13  76.1   181 
#>  5.33 19.98 21.33 16.07 16.16 23.72 19.75 17.45 18.23 19.14 14.34 19.22 16.46 
#>  66.1    16  26.1  93.1   145    49  77.1  81.1   183 188.1 145.1  43.1  13.1 
#> 22.13  8.71 15.77 10.33 10.07 12.19  7.27 14.06  9.24 16.16 10.07 12.10 14.34 
#>  93.2 183.1   180   121   165     9   104   144   9.1   103   152   147   151 
#> 10.33  9.24 14.82 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72 103.1 147.1   156   198    22    82 152.1    95   118     1     2   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   135   185   182 151.1   174    54    71    47    53  22.1   137    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1   141   1.1 174.1    46    35   172 118.1 121.1   196   191  95.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   173  46.1 118.2   186    87 152.2   109   160 122.1    94  72.1 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.2  98.1 109.1 173.1 160.1  82.1 173.2   2.1  87.1 151.2    75 172.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.2   2.2  54.1   178   9.2  75.1   138 152.3   120   163     7 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00319657                0.24346504                0.60510744 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.7518943               0.0145514              -0.1738792 
#>   grade_iii, Cure model 
#>               0.7742045 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 41    18.02      1  40        1         0
#> 50    10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 175   21.91      1  43        0         0
#> 181   16.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 194   22.40      1  38        0         1
#> 175.1 21.91      1  43        0         0
#> 90    20.94      1  50        0         1
#> 139   21.49      1  63        1         0
#> 6     15.64      1  39        0         0
#> 125   15.65      1  67        1         0
#> 14    12.89      1  21        0         0
#> 79    16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 133   14.65      1  57        0         0
#> 45    17.42      1  54        0         1
#> 159   10.55      1  50        0         1
#> 92    22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 42    12.43      1  49        0         1
#> 88    18.37      1  47        0         0
#> 171   16.57      1  41        0         1
#> 86    23.81      1  58        0         1
#> 106.1 16.67      1  49        1         0
#> 157   15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 108   18.29      1  39        0         1
#> 90.1  20.94      1  50        0         1
#> 164   23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 63    22.77      1  31        1         0
#> 91     5.33      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 166   19.98      1  48        0         0
#> 159.1 10.55      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 183    9.24      1  67        1         0
#> 170   19.54      1  43        0         1
#> 125.1 15.65      1  67        1         0
#> 93    10.33      1  52        0         1
#> 13    14.34      1  54        0         1
#> 171.1 16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 171.2 16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 123   13.00      1  44        1         0
#> 177   12.53      1  75        0         0
#> 175.2 21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 187    9.92      1  39        1         0
#> 195   11.76      1  NA        1         0
#> 159.2 10.55      1  50        0         1
#> 30    17.43      1  78        0         0
#> 85    16.44      1  36        0         0
#> 13.1  14.34      1  54        0         1
#> 171.3 16.57      1  41        0         1
#> 113.1 22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 130   16.47      1  53        0         1
#> 129   23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 6.1   15.64      1  39        0         0
#> 81    14.06      1  34        0         0
#> 145   10.07      1  65        1         0
#> 50.1  10.02      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 128   20.35      1  35        0         1
#> 158.1 20.14      1  74        1         0
#> 159.3 10.55      1  50        0         1
#> 197   21.60      1  69        1         0
#> 91.1   5.33      1  61        0         1
#> 159.4 10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 16     8.71      1  71        0         1
#> 139.1 21.49      1  63        1         0
#> 63.1  22.77      1  31        1         0
#> 125.2 15.65      1  67        1         0
#> 63.2  22.77      1  31        1         0
#> 41.1  18.02      1  40        1         0
#> 181.1 16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 36    21.19      1  48        0         1
#> 127    3.53      1  62        0         1
#> 61.1  10.12      1  36        0         1
#> 175.3 21.91      1  43        0         0
#> 113.2 22.86      1  34        0         0
#> 101    9.97      1  10        0         1
#> 90.2  20.94      1  50        0         1
#> 5     16.43      1  51        0         1
#> 96.1  14.54      1  33        0         1
#> 16.1   8.71      1  71        0         1
#> 29    15.45      1  68        1         0
#> 197.1 21.60      1  69        1         0
#> 77     7.27      1  67        0         1
#> 105   19.75      1  60        0         0
#> 179   18.63      1  42        0         0
#> 110   17.56      1  65        0         1
#> 129.1 23.41      1  53        1         0
#> 26.1  15.77      1  49        0         1
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 195.1 11.76      1  NA        1         0
#> 113.3 22.86      1  34        0         0
#> 184   17.77      1  38        0         0
#> 104   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 174   24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 156   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 19    24.00      0  57        0         1
#> 148   24.00      0  61        1         0
#> 103   24.00      0  56        1         0
#> 17.1  24.00      0  38        0         1
#> 102   24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 95    24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 178.1 24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 148.1 24.00      0  61        1         0
#> 38    24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 162   24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 48    24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 95.1  24.00      0  68        0         1
#> 176.1 24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 7.1   24.00      0  37        1         0
#> 102.1 24.00      0  49        0         0
#> 200   24.00      0  64        0         0
#> 80    24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 71.2  24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 118.1 24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 176.2 24.00      0  43        0         1
#> 54.1  24.00      0  53        1         0
#> 144   24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 173.1 24.00      0  19        0         1
#> 71.3  24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 48.1  24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 74.1  24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 176.3 24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 83    24.00      0   6        0         0
#> 200.1 24.00      0  64        0         0
#> 119.1 24.00      0  17        0         0
#> 132   24.00      0  55        0         0
#> 72.1  24.00      0  40        0         1
#> 146.1 24.00      0  63        1         0
#> 7.2   24.00      0  37        1         0
#> 132.1 24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 198.1 24.00      0  66        0         1
#> 62    24.00      0  71        0         0
#> 118.2 24.00      0  44        1         0
#> 176.4 24.00      0  43        0         1
#> 118.3 24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 186.1 24.00      0  45        1         0
#> 95.2  24.00      0  68        0         1
#> 1.1   24.00      0  23        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.752         NA        NA      NA
#> 2 age, Cure model           0.0146        NA        NA      NA
#> 3 grade_ii, Cure model     -0.174         NA        NA      NA
#> 4 grade_iii, Cure model     0.774         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00320        NA        NA      NA
#> 2 grade_ii, Survival model   0.243          NA        NA      NA
#> 3 grade_iii, Survival model  0.605          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.75189           0.01455          -0.17388           0.77420  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 255.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.7518943        0.0145514       -0.1738792        0.7742045 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00319657       0.24346504       0.60510744 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.467487228 0.419378544 0.199872214 0.595603695 0.533515371 0.188485825
#>   [7] 0.199872214 0.309173291 0.265346369 0.697433640 0.672543692 0.821313091
#>  [13] 0.638690486 0.714174216 0.747636326 0.524196473 0.853806989 0.098562937
#>  [19] 0.287756598 0.845688504 0.448177294 0.551932608 0.028610669 0.533515371
#>  [25] 0.730887910 0.612847642 0.457895035 0.309173291 0.059208474 0.805031845
#>  [31] 0.009250009 0.155175308 0.977412353 0.772493027 0.111066622 0.379123527
#>  [37] 0.853806989 0.419378544 0.939182606 0.399437176 0.672543692 0.892619704
#>  [43] 0.780716487 0.551932608 0.900482545 0.551932608 0.756031499 0.962147258
#>  [49] 0.813176880 0.837525674 0.199872214 0.647292138 0.931466984 0.853806989
#>  [55] 0.514787070 0.612847642 0.780716487 0.551932608 0.111066622 0.359201753
#>  [61] 0.586767379 0.073437811 0.349094987 0.043345883 0.697433640 0.796893378
#>  [67] 0.915969302 0.821313091 0.339029688 0.359201753 0.853806989 0.242855687
#>  [73] 0.977412353 0.853806989 0.409464777 0.946896344 0.265346369 0.155175308
#>  [79] 0.672543692 0.155175308 0.467487228 0.595603695 0.655827889 0.287756598
#>  [85] 0.992470794 0.900482545 0.199872214 0.111066622 0.923743292 0.309173291
#>  [91] 0.630080322 0.756031499 0.946896344 0.722532340 0.242855687 0.969794173
#>  [97] 0.389257219 0.438488865 0.495942716 0.073437811 0.655827889 0.505415473
#> [103] 0.739256827 0.111066622 0.486380869 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>    41    76   175   181   106   194 175.1    90   139     6   125    14    79 
#> 18.02 19.22 21.91 16.46 16.67 22.40 21.91 20.94 21.49 15.64 15.65 12.89 16.23 
#>    39   133    45   159    92    99    42    88   171    86 106.1   157   192 
#> 15.59 14.65 17.42 10.55 22.92 21.19 12.43 18.37 16.57 23.81 16.67 15.10 16.44 
#>   108  90.1   164   155    24    63    91    57   113   166 159.1  76.1   183 
#> 18.29 20.94 23.60 13.08 23.89 22.77  5.33 14.46 22.86 19.98 10.55 19.22  9.24 
#>   170 125.1    93    13 171.1    61 171.2    96   149   123   177 175.2   188 
#> 19.54 15.65 10.33 14.34 16.57 10.12 16.57 14.54  8.37 13.00 12.53 21.91 16.16 
#>   187 159.2    30    85  13.1 171.3 113.1   158   130   129   150   168   6.1 
#>  9.92 10.55 17.43 16.44 14.34 16.57 22.86 20.14 16.47 23.41 20.33 23.72 15.64 
#>    81   145  14.1   128 158.1 159.3   197  91.1 159.4    55    16 139.1  63.1 
#> 14.06 10.07 12.89 20.35 20.14 10.55 21.60  5.33 10.55 19.34  8.71 21.49 22.77 
#> 125.2  63.2  41.1 181.1    26    36   127  61.1 175.3 113.2   101  90.2     5 
#> 15.65 22.77 18.02 16.46 15.77 21.19  3.53 10.12 21.91 22.86  9.97 20.94 16.43 
#>  96.1  16.1    29 197.1    77   105   179   110 129.1  26.1   111   180 113.3 
#> 14.54  8.71 15.45 21.60  7.27 19.75 18.63 17.56 23.41 15.77 17.45 14.82 22.86 
#>   184   104    54    71    17    46     7   174   178   176   172    72   156 
#> 17.77 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   119    19   148   103  17.1   102    12    95   198 178.1   142 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   182   165     2   162    31   160   163  71.1   173    48    11  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1  12.1   7.1 102.1   200    80   118    65    74  71.2 160.1   138    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1 182.1 176.2  54.1   144   147 173.1  71.3   146   137  48.1     1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1    67 176.3   112    83 200.1 119.1   132  72.1 146.1   7.2 132.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    87 198.1    62 118.2 176.4 118.3   126 186.1  95.2   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0123749                 0.9034978                 0.6674528 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.77538825              0.01386822              0.26248072 
#>   grade_iii, Cure model 
#>              0.59910647 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 59    10.16      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 177   12.53      1  75        0         0
#> 77     7.27      1  67        0         1
#> 169   22.41      1  46        0         0
#> 40    18.00      1  28        1         0
#> 57    14.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 136   21.83      1  43        0         1
#> 164.1 23.60      1  76        0         1
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 134   17.81      1  47        1         0
#> 25     6.32      1  34        1         0
#> 113   22.86      1  34        0         0
#> 8     18.43      1  32        0         0
#> 158   20.14      1  74        1         0
#> 88    18.37      1  47        0         0
#> 113.1 22.86      1  34        0         0
#> 15.1  22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 159   10.55      1  50        0         1
#> 168   23.72      1  70        0         0
#> 130   16.47      1  53        0         1
#> 57.1  14.46      1  45        0         1
#> 40.1  18.00      1  28        1         0
#> 107   11.18      1  54        1         0
#> 15.2  22.68      1  48        0         0
#> 24    23.89      1  38        0         0
#> 164.2 23.60      1  76        0         1
#> 29    15.45      1  68        1         0
#> 6     15.64      1  39        0         0
#> 140   12.68      1  59        1         0
#> 43    12.10      1  61        0         1
#> 192   16.44      1  31        1         0
#> 100   16.07      1  60        0         0
#> 92    22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 92.1  22.92      1  47        0         1
#> 79.1  16.23      1  54        1         0
#> 128   20.35      1  35        0         1
#> 105   19.75      1  60        0         0
#> 168.1 23.72      1  70        0         0
#> 140.1 12.68      1  59        1         0
#> 114   13.68      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 195   11.76      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 199   19.81      1  NA        0         1
#> 158.1 20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 93    10.33      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 81    14.06      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 97    19.14      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 70     7.38      1  30        1         0
#> 124.1  9.73      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 177.1 12.53      1  75        0         0
#> 123   13.00      1  44        1         0
#> 128.1 20.35      1  35        0         1
#> 194   22.40      1  38        0         1
#> 168.2 23.72      1  70        0         0
#> 8.1   18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 106   16.67      1  49        1         0
#> 128.2 20.35      1  35        0         1
#> 113.2 22.86      1  34        0         0
#> 153.1 21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 63    22.77      1  31        1         0
#> 29.2  15.45      1  68        1         0
#> 124.2  9.73      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 29.3  15.45      1  68        1         0
#> 90    20.94      1  50        0         1
#> 56    12.21      1  60        0         0
#> 113.3 22.86      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 57.2  14.46      1  45        0         1
#> 114.1 13.68      1  NA        0         0
#> 107.1 11.18      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 57.3  14.46      1  45        0         1
#> 101.1  9.97      1  10        0         1
#> 6.1   15.64      1  39        0         0
#> 192.2 16.44      1  31        1         0
#> 179   18.63      1  42        0         0
#> 159.2 10.55      1  50        0         1
#> 6.2   15.64      1  39        0         0
#> 93.1  10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 129   23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 15.3  22.68      1  48        0         0
#> 91     5.33      1  61        0         1
#> 6.3   15.64      1  39        0         0
#> 58    19.34      1  39        0         0
#> 97.1  19.14      1  65        0         1
#> 32    20.90      1  37        1         0
#> 88.1  18.37      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 38    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 82.1  24.00      0  34        0         0
#> 21    24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 94    24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 160   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 112   24.00      0  61        0         0
#> 144   24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 64    24.00      0  43        0         0
#> 115   24.00      0  NA        1         0
#> 98.1  24.00      0  34        1         0
#> 165   24.00      0  47        0         0
#> 75.1  24.00      0  21        1         0
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 120   24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 182.1 24.00      0  35        0         0
#> 46.1  24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 95    24.00      0  68        0         1
#> 109.1 24.00      0  48        0         0
#> 46.2  24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 151   24.00      0  42        0         0
#> 156.1 24.00      0  50        1         0
#> 94.1  24.00      0  51        0         1
#> 191.1 24.00      0  60        0         1
#> 198   24.00      0  66        0         1
#> 35    24.00      0  51        0         0
#> 198.1 24.00      0  66        0         1
#> 34.1  24.00      0  36        0         0
#> 84.1  24.00      0  39        0         1
#> 173.1 24.00      0  19        0         1
#> 9.1   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 38.1  24.00      0  31        1         0
#> 84.2  24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 62.2  24.00      0  71        0         0
#> 20    24.00      0  46        1         0
#> 74    24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 152   24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 21.1  24.00      0  47        0         0
#> 82.2  24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 82.3  24.00      0  34        0         0
#> 62.3  24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 17    24.00      0  38        0         1
#> 174.1 24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 82.4  24.00      0  34        0         0
#> 112.1 24.00      0  61        0         0
#> 104   24.00      0  50        1         0
#> 95.1  24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 20.1  24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 165.1 24.00      0  47        0         0
#> 27.1  24.00      0  63        1         0
#> 173.2 24.00      0  19        0         1
#> 144.1 24.00      0  28        0         1
#> 62.4  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.775         NA        NA      NA
#> 2 age, Cure model           0.0139        NA        NA      NA
#> 3 grade_ii, Cure model      0.262         NA        NA      NA
#> 4 grade_iii, Cure model     0.599         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0124        NA        NA      NA
#> 2 grade_ii, Survival model    0.903         NA        NA      NA
#> 3 grade_iii, Survival model   0.667         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.77539           0.01387           0.26248           0.59911  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 253.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.77538825       0.01386822       0.26248072       0.59910647 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0123749        0.9034978        0.6674528 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2117791502 0.1270904195 0.6928051238 0.8060334683 0.9699274757
#>   [6] 0.1667315203 0.4432650434 0.7137974565 0.0286889066 0.2004869784
#>  [11] 0.0286889066 0.5697712403 0.9193315662 0.4646950518 0.9799913114
#>  [16] 0.0811397762 0.3993094790 0.3052365394 0.4210342531 0.0811397762
#>  [21] 0.1270904195 0.4754413388 0.8680932724 0.0085317728 0.5078635219
#>  [26] 0.7137974565 0.4432650434 0.8474817647 0.1270904195 0.0007546258
#>  [31] 0.0286889066 0.6519438572 0.6002744558 0.7753200096 0.8370448505
#>  [36] 0.5291307136 0.5899858693 0.0636106985 0.2332084924 0.0636106985
#>  [41] 0.5697712403 0.2756713252 0.3356301451 0.0085317728 0.7753200096
#>  [46] 0.7033244506 0.6414363370 0.3052365394 0.9395641248 0.8987721877
#>  [51] 0.9497564643 0.7545039480 0.5291307136 0.3673886488 0.8680932724
#>  [56] 0.6519438572 0.4971109745 0.9598792041 0.5594749302 0.8060334683
#>  [61] 0.7649425586 0.2756713252 0.1779932674 0.0085317728 0.3993094790
#>  [66] 0.3252958939 0.4863179086 0.2756713252 0.0811397762 0.2117791502
#>  [71] 0.1891020761 0.1173381687 0.6519438572 0.5078635219 0.6519438572
#>  [76] 0.2543535544 0.8266188194 0.0811397762 0.2332084924 0.7137974565
#>  [81] 0.8474817647 0.7137974565 0.9193315662 0.6002744558 0.5291307136
#>  [86] 0.3884904854 0.8680932724 0.6002744558 0.8987721877 0.0037391379
#>  [91] 0.0539017465 0.3567611390 0.1270904195 0.9899914241 0.6002744558
#>  [96] 0.3461339032 0.3673886488 0.2651326766 0.4210342531 0.7958327893
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>   153    15   157   177    77   169    40    57   164   136 164.1    79   101 
#> 21.33 22.68 15.10 12.53  7.27 22.41 18.00 14.46 23.60 21.83 23.60 16.23  9.97 
#>   134    25   113     8   158    88 113.1  15.1    23   159   168   130  57.1 
#> 17.81  6.32 22.86 18.43 20.14 18.37 22.86 22.68 16.92 10.55 23.72 16.47 14.46 
#>  40.1   107  15.2    24 164.2    29     6   140    43   192   100    92    99 
#> 18.00 11.18 22.68 23.89 23.60 15.45 15.64 12.68 12.10 16.44 16.07 22.92 21.19 
#>  92.1  79.1   128   105 168.1 140.1    96    39 158.1    16    93   149    81 
#> 22.92 16.23 20.35 19.75 23.72 12.68 14.54 15.59 20.14  8.71 10.33  8.37 14.06 
#> 192.1    97 159.1  29.1   171    70     5 177.1   123 128.1   194 168.2   8.1 
#> 16.44 19.14 10.55 15.45 16.57  7.38 16.43 12.53 13.00 20.35 22.40 23.72 18.43 
#>   166   106 128.2 113.2 153.1   175    63  29.2 130.1  29.3    90    56 113.3 
#> 19.98 16.67 20.35 22.86 21.33 21.91 22.77 15.45 16.47 15.45 20.94 12.21 22.86 
#>    36  57.2 107.1  57.3 101.1   6.1 192.2   179 159.2   6.2  93.1    78   129 
#> 21.19 14.46 11.18 14.46  9.97 15.64 16.44 18.63 10.55 15.64 10.33 23.88 23.41 
#>    76  15.3    91   6.3    58  97.1    32  88.1   154    65   121    82   109 
#> 19.22 22.68  5.33 15.64 19.34 19.14 20.90 18.37 12.63 24.00 24.00 24.00 24.00 
#>   156    67    38    62   163   102  82.1    21    75    94    11   160   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173    46    84   112   144    98    64  98.1   165  75.1    48   191   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    83   120     3 160.1  62.1 182.1  46.1    34    95 109.1  46.2     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   151 156.1  94.1 191.1   198    35 198.1  34.1  84.1 173.1   9.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1  84.2   131  62.2    20    74     2   152   193  21.1  82.2    72  82.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.3   186    17 174.1   172  82.4 112.1   104  95.1 172.1  20.1    27   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  27.1 173.2 144.1  62.4 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008385176               0.529248393               0.266034771 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86086512              0.01500494              0.10123472 
#>   grade_iii, Cure model 
#>              1.02863982 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 168   23.72      1  70        0         0
#> 129   23.41      1  53        1         0
#> 107   11.18      1  54        1         0
#> 164   23.60      1  76        0         1
#> 32    20.90      1  37        1         0
#> 93    10.33      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 175   21.91      1  43        0         0
#> 55    19.34      1  69        0         1
#> 79.1  16.23      1  54        1         0
#> 180   14.82      1  37        0         0
#> 153   21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 79.2  16.23      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 63    22.77      1  31        1         0
#> 29    15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 13    14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 24    23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 113   22.86      1  34        0         0
#> 188   16.16      1  46        0         1
#> 23.1  16.92      1  61        0         0
#> 128   20.35      1  35        0         1
#> 171   16.57      1  41        0         1
#> 158   20.14      1  74        1         0
#> 157   15.10      1  47        0         0
#> 15.1  22.68      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 56    12.21      1  60        0         0
#> 4.1   17.64      1  NA        0         1
#> 190   20.81      1  42        1         0
#> 110   17.56      1  65        0         1
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 70     7.38      1  30        1         0
#> 15.2  22.68      1  48        0         0
#> 159   10.55      1  50        0         1
#> 92    22.92      1  47        0         1
#> 69    23.23      1  25        0         1
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 93.1  10.33      1  52        0         1
#> 45    17.42      1  54        0         1
#> 23.2  16.92      1  61        0         0
#> 68    20.62      1  44        0         0
#> 89    11.44      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 107.2 11.18      1  54        1         0
#> 78    23.88      1  43        0         0
#> 157.1 15.10      1  47        0         0
#> 86    23.81      1  58        0         1
#> 189   10.51      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 183    9.24      1  67        1         0
#> 45.1  17.42      1  54        0         1
#> 179   18.63      1  42        0         0
#> 140   12.68      1  59        1         0
#> 86.1  23.81      1  58        0         1
#> 171.1 16.57      1  41        0         1
#> 14    12.89      1  21        0         0
#> 40    18.00      1  28        1         0
#> 56.1  12.21      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 110.1 17.56      1  65        0         1
#> 171.2 16.57      1  41        0         1
#> 125.2 15.65      1  67        1         0
#> 55.1  19.34      1  69        0         1
#> 40.1  18.00      1  28        1         0
#> 145   10.07      1  65        1         0
#> 29.1  15.45      1  68        1         0
#> 55.2  19.34      1  69        0         1
#> 111   17.45      1  47        0         1
#> 117   17.46      1  26        0         1
#> 133.1 14.65      1  57        0         0
#> 123   13.00      1  44        1         0
#> 168.1 23.72      1  70        0         0
#> 68.1  20.62      1  44        0         0
#> 66    22.13      1  53        0         0
#> 56.2  12.21      1  60        0         0
#> 55.3  19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 61    10.12      1  36        0         1
#> 197   21.60      1  69        1         0
#> 59.1  10.16      1  NA        1         0
#> 158.1 20.14      1  74        1         0
#> 99    21.19      1  38        0         1
#> 57    14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 23.3  16.92      1  61        0         0
#> 106   16.67      1  49        1         0
#> 181.1 16.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 153.1 21.33      1  55        1         0
#> 61.1  10.12      1  36        0         1
#> 117.1 17.46      1  26        0         1
#> 164.2 23.60      1  76        0         1
#> 61.2  10.12      1  36        0         1
#> 154.1 12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 63.1  22.77      1  31        1         0
#> 68.2  20.62      1  44        0         0
#> 155   13.08      1  26        0         0
#> 155.1 13.08      1  26        0         0
#> 57.1  14.46      1  45        0         1
#> 156   24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 118   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 12.1  24.00      0  63        0         0
#> 84    24.00      0  39        0         1
#> 3     24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 162.1 24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 38    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 163.2 24.00      0  66        0         0
#> 162.2 24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 65.1  24.00      0  57        1         0
#> 31.1  24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 160.1 24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 48.2  24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 65.2  24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 148.1 24.00      0  61        1         0
#> 65.3  24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 31.2  24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 141.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 9     24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 82.1  24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 174   24.00      0  49        1         0
#> 138.1 24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 33.1  24.00      0  53        0         0
#> 12.2  24.00      0  63        0         0
#> 53.2  24.00      0  32        0         1
#> 132.1 24.00      0  55        0         0
#> 143.1 24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 12.3  24.00      0  63        0         0
#> 27    24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 87.1  24.00      0  27        0         0
#> 31.3  24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 148.2 24.00      0  61        1         0
#> 71.1  24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 48.3  24.00      0  31        1         0
#> 48.4  24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 20    24.00      0  46        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.861         NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model      0.101         NA        NA      NA
#> 4 grade_iii, Cure model     1.03          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00839        NA        NA      NA
#> 2 grade_ii, Survival model   0.529          NA        NA      NA
#> 3 grade_iii, Survival model  0.266          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.8609            0.0150            0.1012            1.0286  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 254 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86086512       0.01500494       0.10123472       1.02863982 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008385176      0.529248393      0.266034771 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.541690572 0.022172188 0.058256534 0.841003114 0.035938674 0.206489995
#>   [7] 0.893678250 0.035938674 0.612007237 0.142505416 0.279684776 0.541690572
#>  [13] 0.662926621 0.170218383 0.431864746 0.541690572 0.279684776 0.092748034
#>  [19] 0.622205344 0.108693053 0.714936656 0.354653495 0.001435135 0.883029885
#>  [25] 0.083912595 0.571689300 0.431864746 0.251767105 0.481324376 0.261147115
#>  [31] 0.642460881 0.108693053 0.841003114 0.809499621 0.215626581 0.364278879
#>  [37] 0.989333155 0.581889558 0.673282688 0.978695678 0.108693053 0.872413277
#>  [43] 0.075302654 0.066810354 0.521412370 0.778242421 0.893678250 0.412455795
#>  [49] 0.431864746 0.224688850 0.581889558 0.841003114 0.005677495 0.642460881
#>  [55] 0.011456399 0.799022594 0.968021065 0.412455795 0.325724615 0.767658129
#>  [61] 0.011456399 0.481324376 0.757068710 0.335590160 0.809499621 0.364278879
#>  [67] 0.481324376 0.581889558 0.279684776 0.335590160 0.946652657 0.622205344
#>  [73] 0.279684776 0.402713510 0.383519773 0.673282688 0.746503155 0.022172188
#>  [79] 0.224688850 0.133463008 0.809499621 0.279684776 0.957350222 0.914926813
#>  [85] 0.151725057 0.261147115 0.188077978 0.694076739 0.197253435 0.431864746
#>  [91] 0.471195448 0.521412370 0.511214959 0.170218383 0.914926813 0.383519773
#>  [97] 0.035938674 0.914926813 0.778242421 0.160971908 0.092748034 0.224688850
#> [103] 0.725470200 0.725470200 0.694076739 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    79   168   129   107   164    32    93 164.1   167   175    55  79.1   180 
#> 16.23 23.72 23.41 11.18 23.60 20.90 10.33 23.60 15.55 21.91 19.34 16.23 14.82 
#>   153    23  79.2    58    63    29    15    13   134    24    10   113   188 
#> 21.33 16.92 16.23 19.34 22.77 15.45 22.68 14.34 17.81 23.89 10.53 22.86 16.16 
#>  23.1   128   171   158   157  15.1 107.1    56   190   110    77   125   133 
#> 16.92 20.35 16.57 20.14 15.10 22.68 11.18 12.21 20.81 17.56  7.27 15.65 14.65 
#>    70  15.2   159    92    69   181   154  93.1    45  23.2    68 125.1 107.2 
#>  7.38 22.68 10.55 22.92 23.23 16.46 12.63 10.33 17.42 16.92 20.62 15.65 11.18 
#>    78 157.1    86    42   183  45.1   179   140  86.1 171.1    14    40  56.1 
#> 23.88 15.10 23.81 12.43  9.24 17.42 18.63 12.68 23.81 16.57 12.89 18.00 12.21 
#> 110.1 171.2 125.2  55.1  40.1   145  29.1  55.2   111   117 133.1   123 168.1 
#> 17.56 16.57 15.65 19.34 18.00 10.07 15.45 19.34 17.45 17.46 14.65 13.00 23.72 
#>  68.1    66  56.2  55.3   187    61   197 158.1    99    57    90  23.3   106 
#> 20.62 22.13 12.21 19.34  9.92 10.12 21.60 20.14 21.19 14.46 20.94 16.92 16.67 
#> 181.1   130 153.1  61.1 117.1 164.2  61.2 154.1   139  63.1  68.2   155 155.1 
#> 16.46 16.47 21.33 10.12 17.46 23.60 10.12 12.63 21.49 22.77 20.62 13.08 13.08 
#>  57.1   156    31    28   152   132   191   118    12   131   104   163 163.1 
#> 14.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1    53  12.1    84     3    48    87   178    65   138   162   148   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161 162.1   3.1   120    33   102    94    38   142  94.1 163.2 162.2   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    64  65.1  31.1    83 160.1  48.1    80  48.2    71  53.1  65.2   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121 148.1  65.3   185   116   122  31.2    62 141.1    82     9  28.1  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 138.1 120.1  33.1  12.2  53.2 132.1 143.1    34  12.3    27   186     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1  31.3   200 148.2  71.1     7  48.3  48.4   144    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005769307               0.641052054               0.684162983 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.41167106              0.01250172             -0.47230793 
#>   grade_iii, Cure model 
#>              0.48723033 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 192   16.44      1  31        1         0
#> 133   14.65      1  57        0         0
#> 159   10.55      1  50        0         1
#> 134   17.81      1  47        1         0
#> 86    23.81      1  58        0         1
#> 154   12.63      1  20        1         0
#> 85    16.44      1  36        0         0
#> 59    10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 106   16.67      1  49        1         0
#> 90    20.94      1  50        0         1
#> 159.1 10.55      1  50        0         1
#> 25     6.32      1  34        1         0
#> 45    17.42      1  54        0         1
#> 179   18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 145   10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 107   11.18      1  54        1         0
#> 180.1 14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 43    12.10      1  61        0         1
#> 96    14.54      1  33        0         1
#> 99    21.19      1  38        0         1
#> 52    10.42      1  52        0         1
#> 134.1 17.81      1  47        1         0
#> 106.1 16.67      1  49        1         0
#> 129   23.41      1  53        1         0
#> 183    9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 51    18.23      1  83        0         1
#> 117   17.46      1  26        0         1
#> 199   19.81      1  NA        0         1
#> 195   11.76      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 86.1  23.81      1  58        0         1
#> 130   16.47      1  53        0         1
#> 29    15.45      1  68        1         0
#> 171   16.57      1  41        0         1
#> 58    19.34      1  39        0         0
#> 113   22.86      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 77     7.27      1  67        0         1
#> 101    9.97      1  10        0         1
#> 181.1 16.46      1  45        0         1
#> 129.2 23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 125   15.65      1  67        1         0
#> 56    12.21      1  60        0         0
#> 15    22.68      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 171.1 16.57      1  41        0         1
#> 124    9.73      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 85.1  16.44      1  36        0         0
#> 77.1   7.27      1  67        0         1
#> 57    14.46      1  45        0         1
#> 96.1  14.54      1  33        0         1
#> 168   23.72      1  70        0         0
#> 60    13.15      1  38        1         0
#> 180.2 14.82      1  37        0         0
#> 195.1 11.76      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 101.1  9.97      1  10        0         1
#> 199.2 19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 24    23.89      1  38        0         0
#> 43.1  12.10      1  61        0         1
#> 179.1 18.63      1  42        0         0
#> 167.1 15.55      1  56        1         0
#> 89    11.44      1  NA        0         0
#> 58.1  19.34      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 128   20.35      1  35        0         1
#> 39    15.59      1  37        0         1
#> 70     7.38      1  30        1         0
#> 134.2 17.81      1  47        1         0
#> 134.3 17.81      1  47        1         0
#> 155   13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 197   21.60      1  69        1         0
#> 133.2 14.65      1  57        0         0
#> 184   17.77      1  38        0         0
#> 159.2 10.55      1  50        0         1
#> 85.2  16.44      1  36        0         0
#> 78    23.88      1  43        0         0
#> 59.1  10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 78.1  23.88      1  43        0         0
#> 60.1  13.15      1  38        1         0
#> 145.1 10.07      1  65        1         0
#> 43.2  12.10      1  61        0         1
#> 188   16.16      1  46        0         1
#> 159.3 10.55      1  50        0         1
#> 125.1 15.65      1  67        1         0
#> 59.2  10.16      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 100   16.07      1  60        0         0
#> 199.3 19.81      1  NA        0         1
#> 181.2 16.46      1  45        0         1
#> 110.1 17.56      1  65        0         1
#> 157   15.10      1  47        0         0
#> 58.2  19.34      1  39        0         0
#> 43.3  12.10      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 18    15.21      1  49        1         0
#> 113.2 22.86      1  34        0         0
#> 39.2  15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 29.1  15.45      1  68        1         0
#> 2     24.00      0   9        0         0
#> 22    24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 122   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 73.1  24.00      0  NA        0         1
#> 160.1 24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 198   24.00      0  66        0         1
#> 3     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 33    24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 191   24.00      0  60        0         1
#> 173   24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 173.1 24.00      0  19        0         1
#> 172   24.00      0  41        0         0
#> 65.1  24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 122.1 24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 33.1  24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 47.1  24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 53.1  24.00      0  32        0         1
#> 146   24.00      0  63        1         0
#> 186.1 24.00      0  45        1         0
#> 82.1  24.00      0  34        0         0
#> 31    24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 165.1 24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 54.1  24.00      0  53        1         0
#> 144   24.00      0  28        0         1
#> 9     24.00      0  31        1         0
#> 160.2 24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 186.2 24.00      0  45        1         0
#> 191.1 24.00      0  60        0         1
#> 1     24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 11    24.00      0  42        0         1
#> 160.3 24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 131.1 24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 144.1 24.00      0  28        0         1
#> 185   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 20.1  24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 156.2 24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 165.2 24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 146.2 24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 94.1  24.00      0  51        0         1
#> 120   24.00      0  68        0         1
#> 112.1 24.00      0  61        0         0
#> 196   24.00      0  19        0         0
#> 118.1 24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 34    24.00      0  36        0         0
#> 182   24.00      0  35        0         0
#> 21.1  24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 21.2  24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.412         NA        NA      NA
#> 2 age, Cure model           0.0125        NA        NA      NA
#> 3 grade_ii, Cure model     -0.472         NA        NA      NA
#> 4 grade_iii, Cure model     0.487         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00577        NA        NA      NA
#> 2 grade_ii, Survival model   0.641          NA        NA      NA
#> 3 grade_iii, Survival model  0.684          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.4117            0.0125           -0.4723            0.4872  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.41167106       0.01250172      -0.47230793       0.48723033 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005769307      0.641052054      0.684162983 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.543550203 0.723736074 0.887435674 0.373559191 0.056977365 0.820203888
#>   [7] 0.543550203 0.263182661 0.466682050 0.251986161 0.887435674 0.992109386
#>  [13] 0.456440930 0.328702971 0.515732161 0.697316031 0.928113391 0.133719883
#>  [19] 0.879050280 0.697316031 0.204640984 0.845863820 0.750429282 0.240542974
#>  [25] 0.919917488 0.373559191 0.466682050 0.099249242 0.960338851 0.425306758
#>  [31] 0.362271566 0.446095010 0.350903249 0.056977365 0.506005078 0.661993729
#>  [37] 0.486567730 0.296432711 0.145567905 0.099249242 0.976320835 0.944345835
#>  [43] 0.515732161 0.099249242 0.228768410 0.599023668 0.837308038 0.179692178
#>  [49] 0.486567730 0.192077479 0.543550203 0.976320835 0.768063382 0.750429282
#>  [55] 0.083699039 0.785647300 0.697316031 0.145567905 0.944345835 0.644220642
#>  [61] 0.007038613 0.845863820 0.328702971 0.644220642 0.296432711 0.723736074
#>  [67] 0.274487036 0.617471495 0.968349519 0.373559191 0.373559191 0.802887601
#>  [73] 0.285510187 0.216796894 0.723736074 0.414590397 0.887435674 0.543550203
#>  [79] 0.024447630 0.776877804 0.024447630 0.785647300 0.928113391 0.845863820
#>  [85] 0.580306330 0.887435674 0.599023668 0.617471495 0.589643267 0.515732161
#>  [91] 0.425306758 0.688461086 0.296432711 0.845863820 0.828777760 0.679633109
#>  [97] 0.145567905 0.617471495 0.811567582 0.661993729 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   192   133   159   134    86   154    85    68   106    90 159.1    25    45 
#> 16.44 14.65 10.55 17.81 23.81 12.63 16.44 20.62 16.67 20.94 10.55  6.32 17.42 
#>   179   181   180   145    69   107 180.1   136    43    96    99    52 134.1 
#> 18.63 16.46 14.82 10.07 23.23 11.18 14.82 21.83 12.10 14.54 21.19 10.42 17.81 
#> 106.1   129   183   110    51   117    88  86.1   130    29   171    58   113 
#> 16.67 23.41  9.24 17.56 18.23 17.46 18.37 23.81 16.47 15.45 16.57 19.34 22.86 
#> 129.1    77   101 181.1 129.2   139   125    56    15 171.1   175  85.1  77.1 
#> 23.41  7.27  9.97 16.46 23.41 21.49 15.65 12.21 22.68 16.57 21.91 16.44  7.27 
#>    57  96.1   168    60 180.2 113.1 101.1   167    24  43.1 179.1 167.1  58.1 
#> 14.46 14.54 23.72 13.15 14.82 22.86  9.97 15.55 23.89 12.10 18.63 15.55 19.34 
#> 133.1   128    39    70 134.2 134.3   155   158   197 133.2   184 159.2  85.2 
#> 14.65 20.35 15.59  7.38 17.81 17.81 13.08 20.14 21.60 14.65 17.77 10.55 16.44 
#>    78    13  78.1  60.1 145.1  43.2   188 159.3 125.1  39.1   100 181.2 110.1 
#> 23.88 14.34 23.88 13.15 10.07 12.10 16.16 10.55 15.65 15.59 16.07 16.46 17.56 
#>   157  58.2  43.3    42    18 113.2  39.2   123  29.1     2    22    28   138 
#> 15.10 19.34 12.10 12.43 15.21 22.86 15.59 13.00 15.45 24.00 24.00 24.00 24.00 
#>   176   160   122    98 160.1    72   198     3    82    65    27   186    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    47   174    20    54   191   173    53 173.1   172  65.1  27.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156  33.1    87  47.1   165  53.1   146 186.1  82.1    31   131   104 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1   148  54.1   144     9 160.2 156.1 186.2 191.1     1   112    11 160.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 131.1 138.1 148.1 144.1   185    94  20.1   163   109 156.2    38   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 165.2 146.1    67 146.2    21  94.1   120 112.1   196 118.1   147    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182  21.1  31.1  21.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00916194                1.09113578                0.59909547 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.448559140             0.007633766            -0.156294229 
#>   grade_iii, Cure model 
#>             1.043641921 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 164   23.60      1  76        0         1
#> 85    16.44      1  36        0         0
#> 169   22.41      1  46        0         0
#> 37    12.52      1  57        1         0
#> 14    12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 13    14.34      1  54        0         1
#> 166   19.98      1  48        0         0
#> 169.1 22.41      1  46        0         0
#> 97    19.14      1  65        0         1
#> 32    20.90      1  37        1         0
#> 106   16.67      1  49        1         0
#> 86    23.81      1  58        0         1
#> 91     5.33      1  61        0         1
#> 177   12.53      1  75        0         0
#> 89    11.44      1  NA        0         0
#> 70     7.38      1  30        1         0
#> 70.1   7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 69    23.23      1  25        0         1
#> 39    15.59      1  37        0         1
#> 101    9.97      1  10        0         1
#> 177.1 12.53      1  75        0         0
#> 78    23.88      1  43        0         0
#> 16     8.71      1  71        0         1
#> 45    17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 61.1  10.12      1  36        0         1
#> 171   16.57      1  41        0         1
#> 58    19.34      1  39        0         0
#> 85.1  16.44      1  36        0         0
#> 8     18.43      1  32        0         0
#> 30    17.43      1  78        0         0
#> 86.1  23.81      1  58        0         1
#> 157   15.10      1  47        0         0
#> 49    12.19      1  48        1         0
#> 136   21.83      1  43        0         1
#> 139   21.49      1  63        1         0
#> 169.2 22.41      1  46        0         0
#> 51    18.23      1  83        0         1
#> 4     17.64      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 107   11.18      1  54        1         0
#> 129   23.41      1  53        1         0
#> 105.1 19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 168   23.72      1  70        0         0
#> 194   22.40      1  38        0         1
#> 154   12.63      1  20        1         0
#> 43    12.10      1  61        0         1
#> 6     15.64      1  39        0         0
#> 105.2 19.75      1  60        0         0
#> 61.2  10.12      1  36        0         1
#> 123   13.00      1  44        1         0
#> 113   22.86      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 93    10.33      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 91.1   5.33      1  61        0         1
#> 101.1  9.97      1  10        0         1
#> 166.1 19.98      1  48        0         0
#> 51.1  18.23      1  83        0         1
#> 32.1  20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 159   10.55      1  50        0         1
#> 158   20.14      1  74        1         0
#> 55    19.34      1  69        0         1
#> 108   18.29      1  39        0         1
#> 15    22.68      1  48        0         0
#> 117   17.46      1  26        0         1
#> 70.2   7.38      1  30        1         0
#> 16.1   8.71      1  71        0         1
#> 145   10.07      1  65        1         0
#> 99    21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 170   19.54      1  43        0         1
#> 24.2  23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 187    9.92      1  39        1         0
#> 125   15.65      1  67        1         0
#> 81    14.06      1  34        0         0
#> 45.1  17.42      1  54        0         1
#> 24.3  23.89      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 195.1 11.76      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 105.3 19.75      1  60        0         0
#> 37.2  12.52      1  57        1         0
#> 187.1  9.92      1  39        1         0
#> 8.1   18.43      1  32        0         0
#> 58.1  19.34      1  39        0         0
#> 175.1 21.91      1  43        0         0
#> 4.1   17.64      1  NA        0         1
#> 92.2  22.92      1  47        0         1
#> 106.1 16.67      1  49        1         0
#> 114   13.68      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 164.1 23.60      1  76        0         1
#> 10    10.53      1  34        0         0
#> 188   16.16      1  46        0         1
#> 81.1  14.06      1  34        0         0
#> 170.1 19.54      1  43        0         1
#> 23    16.92      1  61        0         0
#> 159.1 10.55      1  50        0         1
#> 101.2  9.97      1  10        0         1
#> 141   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 142   24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 135   24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 193.1 24.00      0  45        0         1
#> 62.1  24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 173.1 24.00      0  19        0         1
#> 172   24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 98    24.00      0  34        1         0
#> 163   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 87    24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 53.1  24.00      0  32        0         1
#> 80.1  24.00      0  41        0         0
#> 109.1 24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 19.1  24.00      0  57        0         1
#> 74.1  24.00      0  43        0         1
#> 1.1   24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 131.1 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 74.2  24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 20.1  24.00      0  46        1         0
#> 122   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 54.1  24.00      0  53        1         0
#> 163.1 24.00      0  66        0         0
#> 122.1 24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 80.2  24.00      0  41        0         0
#> 80.3  24.00      0  41        0         0
#> 135.1 24.00      0  58        1         0
#> 87.1  24.00      0  27        0         0
#> 198   24.00      0  66        0         1
#> 62.2  24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 160.1 24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 48.2  24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 84    24.00      0  39        0         1
#> 142.1 24.00      0  53        0         0
#> 44.1  24.00      0  56        0         0
#> 17    24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 131.2 24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 20.2  24.00      0  46        1         0
#> 151.1 24.00      0  42        0         0
#> 64    24.00      0  43        0         0
#> 138   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.449          NA        NA      NA
#> 2 age, Cure model          0.00763        NA        NA      NA
#> 3 grade_ii, Cure model    -0.156          NA        NA      NA
#> 4 grade_iii, Cure model    1.04           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00916        NA        NA      NA
#> 2 grade_ii, Survival model   1.09           NA        NA      NA
#> 3 grade_iii, Survival model  0.599          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.448559          0.007634         -0.156294          1.043642  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 248 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.448559140      0.007633766     -0.156294229      1.043641921 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00916194       1.09113578       0.59909547 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.081031039 0.581393342 0.175015119 0.755845379 0.717812875 0.217359776
#>   [7] 0.125988913 0.864431470 0.679249797 0.310766552 0.175015119 0.419508759
#>  [13] 0.281993386 0.542080442 0.048323527 0.983646908 0.736861708 0.959202908
#>  [19] 0.959202908 0.330068993 0.115282142 0.640457875 0.899657564 0.736861708
#>  [25] 0.036309111 0.942290667 0.511725573 0.481234165 0.650236240 0.864431470
#>  [31] 0.561703343 0.389428300 0.581393342 0.429784374 0.501522158 0.048323527
#>  [37] 0.659883940 0.783352403 0.239309563 0.250429573 0.175015119 0.460667813
#>  [43] 0.601082205 0.801705358 0.104111941 0.330068993 0.571558532 0.068897983
#>  [49] 0.206461644 0.727429507 0.792531060 0.630634961 0.330068993 0.864431470
#>  [55] 0.708218741 0.154277818 0.125988913 0.855456262 0.755845379 0.983646908
#>  [61] 0.899657564 0.310766552 0.460667813 0.281993386 0.819616589 0.301176152
#>  [67] 0.389428300 0.450336812 0.164530162 0.491423656 0.959202908 0.942290667
#>  [73] 0.890827152 0.261227576 0.008807633 0.008807633 0.369438286 0.008807633
#>  [79] 0.846468749 0.925393629 0.620857806 0.688903235 0.511725573 0.008807633
#>  [85] 0.801705358 0.261227576 0.330068993 0.755845379 0.925393629 0.429784374
#>  [91] 0.389428300 0.217359776 0.125988913 0.542080442 0.669581247 0.081031039
#>  [97] 0.837468764 0.610985557 0.688903235 0.369438286 0.531841715 0.819616589
#> [103] 0.899657564 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   164    85   169    37    14   175    92    61    13   166 169.1    97    32 
#> 23.60 16.44 22.41 12.52 12.89 21.91 22.92 10.12 14.34 19.98 22.41 19.14 20.90 
#>   106    86    91   177    70  70.1   105    69    39   101 177.1    78    16 
#> 16.67 23.81  5.33 12.53  7.38  7.38 19.75 23.23 15.59  9.97 12.53 23.88  8.71 
#>    45   134    18  61.1   171    58  85.1     8    30  86.1   157    49   136 
#> 17.42 17.81 15.21 10.12 16.57 19.34 16.44 18.43 17.43 23.81 15.10 12.19 21.83 
#>   139 169.2    51     5   107   129 105.1   130   168   194   154    43     6 
#> 21.49 22.41 18.23 16.43 11.18 23.41 19.75 16.47 23.72 22.40 12.63 12.10 15.64 
#> 105.2  61.2   123   113  92.1    93  37.1  91.1 101.1 166.1  51.1  32.1   159 
#> 19.75 10.12 13.00 22.86 22.92 10.33 12.52  5.33  9.97 19.98 18.23 20.90 10.55 
#>   158    55   108    15   117  70.2  16.1   145    99    24  24.1   170  24.2 
#> 20.14 19.34 18.29 22.68 17.46  7.38  8.71 10.07 21.19 23.89 23.89 19.54 23.89 
#>    52   187   125    81  45.1  24.3 107.1    36 105.3  37.2 187.1   8.1  58.1 
#> 10.42  9.92 15.65 14.06 17.42 23.89 11.18 21.19 19.75 12.52  9.92 18.43 19.34 
#> 175.1  92.2 106.1    57 164.1    10   188  81.1 170.1    23 159.1 101.2   141 
#> 21.91 22.92 16.67 14.46 23.60 10.53 16.16 14.06 19.54 16.92 10.55  9.97 24.00 
#>     9    44   102     3    19   176    47   173    35   126   160    74    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    38   109    22   193    20   142    80    75     1   119   135    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1  62.1   174 173.1   172   131   118    53    98   163    48   116    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  53.1  80.1 109.1    54  19.1  74.1   1.1    71 131.1    21   185  74.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  20.1   122   196  54.1 163.1 122.1  48.1   2.1   148  80.2  80.3 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1   198  62.2   151 160.1   146  48.2   104    84 142.1  44.1    17  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 131.2    28  20.2 151.1    64   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008085326               0.273451104               0.333350481 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.90825647              0.02228347              0.03147412 
#>   grade_iii, Cure model 
#>              0.26638258 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 101    9.97      1  10        0         1
#> 107   11.18      1  54        1         0
#> 170   19.54      1  43        0         1
#> 61    10.12      1  36        0         1
#> 100   16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 169   22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 81    14.06      1  34        0         0
#> 149    8.37      1  33        1         0
#> 166   19.98      1  48        0         0
#> 192   16.44      1  31        1         0
#> 63    22.77      1  31        1         0
#> 50    10.02      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 149.1  8.37      1  33        1         0
#> 36    21.19      1  48        0         1
#> 63.1  22.77      1  31        1         0
#> 130   16.47      1  53        0         1
#> 145   10.07      1  65        1         0
#> 140   12.68      1  59        1         0
#> 159   10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 168   23.72      1  70        0         0
#> 40    18.00      1  28        1         0
#> 124    9.73      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 180.1 14.82      1  37        0         0
#> 155   13.08      1  26        0         0
#> 86    23.81      1  58        0         1
#> 56    12.21      1  60        0         0
#> 183    9.24      1  67        1         0
#> 158   20.14      1  74        1         0
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 113   22.86      1  34        0         0
#> 14    12.89      1  21        0         0
#> 70     7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 36.1  21.19      1  48        0         1
#> 106   16.67      1  49        1         0
#> 4.1   17.64      1  NA        0         1
#> 114   13.68      1  NA        0         0
#> 177.1 12.53      1  75        0         0
#> 13    14.34      1  54        0         1
#> 70.1   7.38      1  30        1         0
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 139   21.49      1  63        1         0
#> 190   20.81      1  42        1         0
#> 63.2  22.77      1  31        1         0
#> 90    20.94      1  50        0         1
#> 179   18.63      1  42        0         0
#> 40.1  18.00      1  28        1         0
#> 68    20.62      1  44        0         0
#> 192.1 16.44      1  31        1         0
#> 16     8.71      1  71        0         1
#> 114.1 13.68      1  NA        0         0
#> 15    22.68      1  48        0         0
#> 187    9.92      1  39        1         0
#> 93    10.33      1  52        0         1
#> 55    19.34      1  69        0         1
#> 194   22.40      1  38        0         1
#> 169.1 22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 4.2   17.64      1  NA        0         1
#> 63.3  22.77      1  31        1         0
#> 197   21.60      1  69        1         0
#> 61.1  10.12      1  36        0         1
#> 149.2  8.37      1  33        1         0
#> 41    18.02      1  40        1         0
#> 58    19.34      1  39        0         0
#> 179.1 18.63      1  42        0         0
#> 77.1   7.27      1  67        0         1
#> 91.1   5.33      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 125   15.65      1  67        1         0
#> 60    13.15      1  38        1         0
#> 139.1 21.49      1  63        1         0
#> 77.2   7.27      1  67        0         1
#> 180.2 14.82      1  37        0         0
#> 150   20.33      1  48        0         0
#> 166.2 19.98      1  48        0         0
#> 125.1 15.65      1  67        1         0
#> 30.1  17.43      1  78        0         0
#> 88    18.37      1  47        0         0
#> 78    23.88      1  43        0         0
#> 91.2   5.33      1  61        0         1
#> 56.1  12.21      1  60        0         0
#> 180.3 14.82      1  37        0         0
#> 127    3.53      1  62        0         1
#> 37    12.52      1  57        1         0
#> 92    22.92      1  47        0         1
#> 130.1 16.47      1  53        0         1
#> 117   17.46      1  26        0         1
#> 37.1  12.52      1  57        1         0
#> 93.1  10.33      1  52        0         1
#> 36.2  21.19      1  48        0         1
#> 90.1  20.94      1  50        0         1
#> 184.1 17.77      1  38        0         0
#> 159.1 10.55      1  50        0         1
#> 106.1 16.67      1  49        1         0
#> 183.1  9.24      1  67        1         0
#> 153.1 21.33      1  55        1         0
#> 113.1 22.86      1  34        0         0
#> 76    19.22      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 120   24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 119   24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 75    24.00      0  21        1         0
#> 35    24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 72.1  24.00      0  40        0         1
#> 87    24.00      0  27        0         0
#> 28    24.00      0  67        1         0
#> 182   24.00      0  35        0         0
#> 119.1 24.00      0  17        0         0
#> 2     24.00      0   9        0         0
#> 17    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 1     24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 141   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 80.1  24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 144.1 24.00      0  28        0         1
#> 102   24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 27    24.00      0  63        1         0
#> 95    24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 75.1  24.00      0  21        1         0
#> 137   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 132.1 24.00      0  55        0         0
#> 33    24.00      0  53        0         0
#> 185   24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 48.1  24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 48.2  24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 72.2  24.00      0  40        0         1
#> 67.1  24.00      0  25        0         0
#> 182.1 24.00      0  35        0         0
#> 156   24.00      0  50        1         0
#> 22.1  24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 132.2 24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 148   24.00      0  61        1         0
#> 31    24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 53    24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 119.3 24.00      0  17        0         0
#> 46    24.00      0  71        0         0
#> 141.1 24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 132.3 24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 132.4 24.00      0  55        0         0
#> 120.1 24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 65    24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 182.2 24.00      0  35        0         0
#> 73.1  24.00      0  NA        0         1
#> 135   24.00      0  58        1         0
#> 22.2  24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 98.1  24.00      0  34        1         0
#> 53.1  24.00      0  32        0         1
#> 165   24.00      0  47        0         0
#> 19    24.00      0  57        0         1
#> 151.2 24.00      0  42        0         0
#> 116   24.00      0  58        0         1
#> 121   24.00      0  57        1         0
#> 17.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.908         NA        NA      NA
#> 2 age, Cure model           0.0223        NA        NA      NA
#> 3 grade_ii, Cure model      0.0315        NA        NA      NA
#> 4 grade_iii, Cure model     0.266         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00809        NA        NA      NA
#> 2 grade_ii, Survival model   0.273          NA        NA      NA
#> 3 grade_iii, Survival model  0.333          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.90826           0.02228           0.03147           0.26638  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 252.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.90825647       0.02228347       0.03147412       0.26638258 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008085326      0.273451104      0.333350481 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90594639 0.85796232 0.53327591 0.88824767 0.71306872 0.58353803
#>   [7] 0.29568948 0.96261626 0.78751333 0.93476985 0.50709460 0.69889617
#>  [13] 0.22077092 0.41126037 0.64708211 0.77420061 0.93476985 0.41126037
#>  [19] 0.22077092 0.68452284 0.90006539 0.81377297 0.86414999 0.82025525
#>  [25] 0.13157212 0.60795125 0.74760182 0.74760182 0.80068211 0.10001440
#>  [31] 0.84553929 0.91763928 0.49798601 0.73389362 0.74077570 0.18104345
#>  [37] 0.80723245 0.95151084 0.62369691 0.38890296 0.41126037 0.66979630
#>  [43] 0.82025525 0.78088987 0.95151084 0.97883475 0.66223267 0.36510927
#>  [49] 0.46969576 0.22077092 0.45053974 0.56718121 0.60795125 0.47920767
#>  [55] 0.69889617 0.92908246 0.27997442 0.91180787 0.87629201 0.54200806
#>  [61] 0.32492531 0.29568948 0.22077092 0.35197907 0.88824767 0.93476985
#>  [67] 0.59989052 0.54200806 0.56718121 0.96261626 0.97883475 0.50709460
#>  [73] 0.72014643 0.79411921 0.36510927 0.96261626 0.74760182 0.48863961
#>  [79] 0.50709460 0.72014643 0.64708211 0.59174039 0.04935216 0.97883475
#>  [85] 0.84553929 0.74760182 0.99471502 0.83300125 0.15829819 0.68452284
#>  [91] 0.63930091 0.83300125 0.87629201 0.41126037 0.45053974 0.62369691
#>  [97] 0.86414999 0.66979630 0.91763928 0.38890296 0.18104345 0.55884506
#> [103] 0.32492531 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   101   107   170    61   100     8   169    77    81   149   166   192    63 
#>  9.97 11.18 19.54 10.12 16.07 18.43 22.41  7.27 14.06  8.37 19.98 16.44 22.77 
#>    99    30    96 149.1    36  63.1   130   145   140   159   177   168    40 
#> 21.19 17.43 14.54  8.37 21.19 22.77 16.47 10.07 12.68 10.55 12.53 23.72 18.00 
#>   180 180.1   155    86    56   183   158     6    39   113    14    70   184 
#> 14.82 14.82 13.08 23.81 12.21  9.24 20.14 15.64 15.59 22.86 12.89  7.38 17.77 
#>   153  36.1   106 177.1    13  70.1    91    23   139   190  63.2    90   179 
#> 21.33 21.19 16.67 12.53 14.34  7.38  5.33 16.92 21.49 20.81 22.77 20.94 18.63 
#>  40.1    68 192.1    16    15   187    93    55   194 169.1  63.3   197  61.1 
#> 18.00 20.62 16.44  8.71 22.68  9.92 10.33 19.34 22.40 22.41 22.77 21.60 10.12 
#> 149.2    41    58 179.1  77.1  91.1 166.1   125    60 139.1  77.2 180.2   150 
#>  8.37 18.02 19.34 18.63  7.27  5.33 19.98 15.65 13.15 21.49  7.27 14.82 20.33 
#> 166.2 125.1  30.1    88    78  91.2  56.1 180.3   127    37    92 130.1   117 
#> 19.98 15.65 17.43 18.37 23.88  5.33 12.21 14.82  3.53 12.52 22.92 16.47 17.46 
#>  37.1  93.1  36.2  90.1 184.1 159.1 106.1 183.1 153.1 113.1    76 194.1   120 
#> 12.52 10.33 21.19 20.94 17.77 10.55 16.67  9.24 21.33 22.86 19.22 22.40 24.00 
#>    67   191   119   144    75    35    72  72.1    87    28   182 119.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17    83   132     1   141   152   138    80  80.1    47 144.1   102    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    95   200  75.1   137    48     9  47.1 132.1    33   185 119.2  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    20    22  48.2  95.1  72.2  67.1 182.1   156  22.1   142 132.2     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   198   148    31   196    53   160 119.3    46 141.1 198.1 132.3   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109 132.4 120.1  20.1    65    98    12 182.2   135  22.2     7  98.1  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    19 151.2   116   121  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01493714               -0.06975825                0.13855571 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.9089413               0.0144930               0.2446462 
#>   grade_iii, Cure model 
#>               0.9219518 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 136   21.83      1  43        0         1
#> 197   21.60      1  69        1         0
#> 169   22.41      1  46        0         0
#> 6     15.64      1  39        0         0
#> 57    14.46      1  45        0         1
#> 129   23.41      1  53        1         0
#> 92    22.92      1  47        0         1
#> 5     16.43      1  51        0         1
#> 97    19.14      1  65        0         1
#> 92.1  22.92      1  47        0         1
#> 158   20.14      1  74        1         0
#> 5.1   16.43      1  51        0         1
#> 51    18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 170   19.54      1  43        0         1
#> 159   10.55      1  50        0         1
#> 183    9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 56    12.21      1  60        0         0
#> 51.1  18.23      1  83        0         1
#> 57.1  14.46      1  45        0         1
#> 78    23.88      1  43        0         0
#> 97.1  19.14      1  65        0         1
#> 77.1   7.27      1  67        0         1
#> 76    19.22      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 36    21.19      1  48        0         1
#> 18    15.21      1  49        1         0
#> 14    12.89      1  21        0         0
#> 90    20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 85    16.44      1  36        0         0
#> 78.1  23.88      1  43        0         0
#> 8     18.43      1  32        0         0
#> 187    9.92      1  39        1         0
#> 167   15.55      1  56        1         0
#> 133   14.65      1  57        0         0
#> 128   20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 99    21.19      1  38        0         1
#> 170.1 19.54      1  43        0         1
#> 192   16.44      1  31        1         0
#> 23    16.92      1  61        0         0
#> 136.1 21.83      1  43        0         1
#> 63.2  22.77      1  31        1         0
#> 128.1 20.35      1  35        0         1
#> 63.3  22.77      1  31        1         0
#> 110.1 17.56      1  65        0         1
#> 134   17.81      1  47        1         0
#> 130   16.47      1  53        0         1
#> 136.2 21.83      1  43        0         1
#> 150   20.33      1  48        0         0
#> 8.1   18.43      1  32        0         0
#> 190   20.81      1  42        1         0
#> 130.1 16.47      1  53        0         1
#> 153   21.33      1  55        1         0
#> 197.1 21.60      1  69        1         0
#> 50.1  10.02      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 170.2 19.54      1  43        0         1
#> 39    15.59      1  37        0         1
#> 139   21.49      1  63        1         0
#> 15    22.68      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 167.1 15.55      1  56        1         0
#> 159.1 10.55      1  50        0         1
#> 59    10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 77.2   7.27      1  67        0         1
#> 32    20.90      1  37        1         0
#> 179   18.63      1  42        0         0
#> 50.2  10.02      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 157   15.10      1  47        0         0
#> 32.1  20.90      1  37        1         0
#> 169.1 22.41      1  46        0         0
#> 187.1  9.92      1  39        1         0
#> 41    18.02      1  40        1         0
#> 8.2   18.43      1  32        0         0
#> 16     8.71      1  71        0         1
#> 77.3   7.27      1  67        0         1
#> 167.2 15.55      1  56        1         0
#> 197.2 21.60      1  69        1         0
#> 13    14.34      1  54        0         1
#> 139.1 21.49      1  63        1         0
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 85.1  16.44      1  36        0         0
#> 133.1 14.65      1  57        0         0
#> 50.3  10.02      1  NA        1         0
#> 92.2  22.92      1  47        0         1
#> 50.4  10.02      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 88    18.37      1  47        0         0
#> 5.2   16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 40.1  18.00      1  28        1         0
#> 8.3   18.43      1  32        0         0
#> 149    8.37      1  33        1         0
#> 92.3  22.92      1  47        0         1
#> 99.1  21.19      1  38        0         1
#> 124.1  9.73      1  NA        1         0
#> 179.1 18.63      1  42        0         0
#> 93    10.33      1  52        0         1
#> 128.2 20.35      1  35        0         1
#> 158.1 20.14      1  74        1         0
#> 183.1  9.24      1  67        1         0
#> 151   24.00      0  42        0         0
#> 17    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 193   24.00      0  45        0         1
#> 173   24.00      0  19        0         1
#> 115   24.00      0  NA        1         0
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 109.1 24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 72.1  24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 122   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 27    24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 103   24.00      0  56        1         0
#> 109.2 24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 28    24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 119   24.00      0  17        0         0
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 148   24.00      0  61        1         0
#> 200.1 24.00      0  64        0         0
#> 83.1  24.00      0   6        0         0
#> 72.2  24.00      0  40        0         1
#> 103.1 24.00      0  56        1         0
#> 120   24.00      0  68        0         1
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 65.1  24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 131.1 24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 48    24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 135.1 24.00      0  58        1         0
#> 151.1 24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 75    24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 121.1 24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 115.1 24.00      0  NA        1         0
#> 162.1 24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 72.3  24.00      0  40        0         1
#> 28.1  24.00      0  67        1         0
#> 98.2  24.00      0  34        1         0
#> 191.1 24.00      0  60        0         1
#> 46    24.00      0  71        0         0
#> 122.1 24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 135.2 24.00      0  58        1         0
#> 94.1  24.00      0  51        0         1
#> 72.4  24.00      0  40        0         1
#> 65.2  24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 115.2 24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 115.3 24.00      0  NA        1         0
#> 7     24.00      0  37        1         0
#> 126.2 24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 160   24.00      0  31        1         0
#> 75.2  24.00      0  21        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.909         NA        NA      NA
#> 2 age, Cure model           0.0145        NA        NA      NA
#> 3 grade_ii, Cure model      0.245         NA        NA      NA
#> 4 grade_iii, Cure model     0.922         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0149        NA        NA      NA
#> 2 grade_ii, Survival model   -0.0698        NA        NA      NA
#> 3 grade_iii, Survival model   0.139         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.90894           0.01449           0.24465           0.92195  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 245.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.9089413        0.0144930        0.2446462        0.9219518 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01493714      -0.06975825       0.13855571 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2989707 0.4064326 0.4443520 0.3774998 0.8411433 0.8997361 0.1935125
#>   [8] 0.2295197 0.8188090 0.6643230 0.2295197 0.6095136 0.8188090 0.7269926
#>  [15] 0.9777344 0.6338954 0.9249743 0.9589464 0.9955532 0.9199767 0.7269926
#>  [22] 0.8997361 0.1143495 0.6643230 0.9777344 0.6567533 0.2989707 0.5092100
#>  [29] 0.8789087 0.9149393 0.5378740 0.7654877 0.8015311 0.1143495 0.6928422
#>  [36] 0.9493600 0.8576168 0.8894352 0.5749436 0.9396753 0.5092100 0.6338954
#>  [43] 0.8015311 0.7777398 0.4064326 0.2989707 0.5749436 0.2989707 0.7654877
#>  [50] 0.7591292 0.7838187 0.4064326 0.6008746 0.6928422 0.5657729 0.7838187
#>  [57] 0.4987919 0.4443520 0.8735996 0.6338954 0.8521372 0.4776843 0.3615111
#>  [64] 0.8411433 0.8576168 0.9249743 0.7463717 0.9777344 0.5473593 0.6787133
#>  [71] 0.6258345 0.8841879 0.5473593 0.3774998 0.9493600 0.7399192 0.6928422
#>  [78] 0.9683878 0.9777344 0.8576168 0.4443520 0.9098917 0.4776843 0.7956488
#>  [85] 0.8355704 0.8015311 0.8894352 0.2295197 0.9445218 0.7201368 0.8188090
#>  [92] 0.7463717 0.6928422 0.9730670 0.2295197 0.5092100 0.6787133 0.9347920
#>  [99] 0.5749436 0.6095136 0.9589464 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    63   136   197   169     6    57   129    92     5    97  92.1   158   5.1 
#> 22.77 21.83 21.60 22.41 15.64 14.46 23.41 22.92 16.43 19.14 22.92 20.14 16.43 
#>    51    77   170   159   183   127    56  51.1  57.1    78  97.1  77.1    76 
#> 18.23  7.27 19.54 10.55  9.24  3.53 12.21 18.23 14.46 23.88 19.14  7.27 19.22 
#>  63.1    36    18    14    90   110    85  78.1     8   187   167   133   128 
#> 22.77 21.19 15.21 12.89 20.94 17.56 16.44 23.88 18.43  9.92 15.55 14.65 20.35 
#>   145    99 170.1   192    23 136.1  63.2 128.1  63.3 110.1   134   130 136.2 
#> 10.07 21.19 19.54 16.44 16.92 21.83 22.77 20.35 22.77 17.56 17.81 16.47 21.83 
#>   150   8.1   190 130.1   153 197.1    29 170.2    39   139    15   6.1 167.1 
#> 20.33 18.43 20.81 16.47 21.33 21.60 15.45 19.54 15.59 21.49 22.68 15.64 15.55 
#> 159.1    40  77.2    32   179   105   157  32.1 169.1 187.1    41   8.2    16 
#> 10.55 18.00  7.27 20.90 18.63 19.75 15.10 20.90 22.41  9.92 18.02 18.43  8.71 
#>  77.3 167.2 197.2    13 139.1   181    26  85.1 133.1  92.2   101    88   5.2 
#>  7.27 15.55 21.60 14.34 21.49 16.46 15.77 16.44 14.65 22.92  9.97 18.37 16.43 
#>  40.1   8.3   149  92.3  99.1 179.1    93 128.2 158.1 183.1   151    17    94 
#> 18.00 18.43  8.37 22.92 21.19 18.63 10.33 20.35 20.14  9.24 24.00 24.00 24.00 
#>   193   173    98    74   109    83   138    65    72 109.1   200  72.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   122   121    84   131    38  84.1    27   126 173.1   103 109.2    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    28    82   119    12   112   148 200.1  83.1  72.2 103.1   120   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   152    34  65.1    53 131.1     9   191    48  98.1 135.1 151.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   176 165.1 121.1   141   162 126.1    20  75.1 162.1   182  72.3  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2 191.1    46 122.1   185 135.2  94.1  72.4  65.2   196   102     7 126.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   160  75.2 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01053243                0.57931961                0.25688388 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.295112901             0.001457563             0.188008486 
#>   grade_iii, Cure model 
#>             0.964636886 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 40    18.00      1  28        1         0
#> 128.1 20.35      1  35        0         1
#> 136   21.83      1  43        0         1
#> 153   21.33      1  55        1         0
#> 107   11.18      1  54        1         0
#> 90    20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 169   22.41      1  46        0         0
#> 158   20.14      1  74        1         0
#> 70     7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 41    18.02      1  40        1         0
#> 153.1 21.33      1  55        1         0
#> 85    16.44      1  36        0         0
#> 189   10.51      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 13    14.34      1  54        0         1
#> 192   16.44      1  31        1         0
#> 105   19.75      1  60        0         0
#> 39    15.59      1  37        0         1
#> 125   15.65      1  67        1         0
#> 129   23.41      1  53        1         0
#> 99    21.19      1  38        0         1
#> 5     16.43      1  51        0         1
#> 51    18.23      1  83        0         1
#> 157   15.10      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 159   10.55      1  50        0         1
#> 26    15.77      1  49        0         1
#> 50    10.02      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 86    23.81      1  58        0         1
#> 181   16.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 133.1 14.65      1  57        0         0
#> 157.1 15.10      1  47        0         0
#> 105.1 19.75      1  60        0         0
#> 91     5.33      1  61        0         1
#> 105.2 19.75      1  60        0         0
#> 92    22.92      1  47        0         1
#> 93    10.33      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 188   16.16      1  46        0         1
#> 78    23.88      1  43        0         0
#> 127    3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 105.3 19.75      1  60        0         0
#> 111   17.45      1  47        0         1
#> 107.1 11.18      1  54        1         0
#> 39.1  15.59      1  37        0         1
#> 58    19.34      1  39        0         0
#> 111.1 17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 101    9.97      1  10        0         1
#> 18    15.21      1  49        1         0
#> 24    23.89      1  38        0         0
#> 164.2 23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 90.1  20.94      1  50        0         1
#> 69    23.23      1  25        0         1
#> 29    15.45      1  68        1         0
#> 49    12.19      1  48        1         0
#> 37.1  12.52      1  57        1         0
#> 168   23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 77     7.27      1  67        0         1
#> 199   19.81      1  NA        0         1
#> 101.1  9.97      1  10        0         1
#> 45    17.42      1  54        0         1
#> 69.1  23.23      1  25        0         1
#> 49.1  12.19      1  48        1         0
#> 50.1  10.02      1  NA        1         0
#> 49.2  12.19      1  48        1         0
#> 55    19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 70.1   7.38      1  30        1         0
#> 195   11.76      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 42    12.43      1  49        0         1
#> 89.1  11.44      1  NA        0         0
#> 85.1  16.44      1  36        0         0
#> 36    21.19      1  48        0         1
#> 195.1 11.76      1  NA        1         0
#> 157.2 15.10      1  47        0         0
#> 13.1  14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 155.1 13.08      1  26        0         0
#> 158.1 20.14      1  74        1         0
#> 123   13.00      1  44        1         0
#> 79    16.23      1  54        1         0
#> 199.1 19.81      1  NA        0         1
#> 90.2  20.94      1  50        0         1
#> 171   16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 167   15.55      1  56        1         0
#> 99.1  21.19      1  38        0         1
#> 100   16.07      1  60        0         0
#> 197.1 21.60      1  69        1         0
#> 180   14.82      1  37        0         0
#> 61    10.12      1  36        0         1
#> 117   17.46      1  26        0         1
#> 60    13.15      1  38        1         0
#> 150.1 20.33      1  48        0         0
#> 16.1   8.71      1  71        0         1
#> 179   18.63      1  42        0         0
#> 168.1 23.72      1  70        0         0
#> 63    22.77      1  31        1         0
#> 98    24.00      0  34        1         0
#> 3     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 198   24.00      0  66        0         1
#> 94    24.00      0  51        0         1
#> 72    24.00      0  40        0         1
#> 173   24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 47    24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 65    24.00      0  57        1         0
#> 198.1 24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 33.1  24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 35    24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 131   24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 17    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 65.1  24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 72.1  24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 161   24.00      0  45        0         0
#> 20    24.00      0  46        1         0
#> 141.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 141.2 24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 3.1   24.00      0  31        1         0
#> 72.2  24.00      0  40        0         1
#> 71    24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 146   24.00      0  63        1         0
#> 148.1 24.00      0  61        1         0
#> 147   24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 185   24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 172.1 24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 172.2 24.00      0  41        0         0
#> 102.1 24.00      0  49        0         0
#> 172.3 24.00      0  41        0         0
#> 143.1 24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 132.1 24.00      0  55        0         0
#> 48    24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 47.1  24.00      0  38        0         1
#> 94.2  24.00      0  51        0         1
#> 112.2 24.00      0  61        0         0
#> 64    24.00      0  43        0         0
#> 118   24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 198.2 24.00      0  66        0         1
#> 146.1 24.00      0  63        1         0
#> 65.2  24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 102.2 24.00      0  49        0         0
#> 28.1  24.00      0  67        1         0
#> 19.1  24.00      0  57        0         1
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 198.3 24.00      0  66        0         1
#> 112.3 24.00      0  61        0         0
#> 198.4 24.00      0  66        0         1
#> 147.1 24.00      0  76        1         0
#> 161.1 24.00      0  45        0         0
#> 112.4 24.00      0  61        0         0
#> 121   24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.295          NA        NA      NA
#> 2 age, Cure model          0.00146        NA        NA      NA
#> 3 grade_ii, Cure model     0.188          NA        NA      NA
#> 4 grade_iii, Cure model    0.965          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0105        NA        NA      NA
#> 2 grade_ii, Survival model    0.579         NA        NA      NA
#> 3 grade_iii, Survival model   0.257         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.295113          0.001458          0.188008          0.964637  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 250.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.295112901      0.001457563      0.188008486      0.964636886 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01053243       0.57931961       0.25688388 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.190688719 0.341046261 0.190688719 0.092778609 0.117008533 0.821009346
#>   [7] 0.157088889 0.750386337 0.084723270 0.225453313 0.940056256 0.521030494
#>  [13] 0.330715843 0.117008533 0.424171131 0.916107384 0.679586469 0.424171131
#>  [19] 0.252652442 0.532146858 0.509993458 0.040030160 0.133059694 0.455609541
#>  [25] 0.320329917 0.587819881 0.392353024 0.844581907 0.498984710 0.021162661
#>  [31] 0.714896682 0.006550716 0.413514672 0.632977698 0.632977698 0.587819881
#>  [37] 0.252652442 0.975834062 0.252652442 0.061771629 0.856491168 0.021162661
#>  [43] 0.477191560 0.003046057 0.987892862 0.076951986 0.252652442 0.361508339
#>  [49] 0.821009346 0.532146858 0.290199168 0.361508339 0.100960769 0.892398970
#>  [55] 0.576633663 0.000685009 0.021162661 0.243379696 0.182025839 0.157088889
#>  [61] 0.047665825 0.565433270 0.785894970 0.750386337 0.010779276 0.207782317
#>  [67] 0.963822755 0.892398970 0.381927502 0.047665825 0.785894970 0.785894970
#>  [73] 0.290199168 0.940056256 0.880412523 0.773970072 0.424171131 0.133059694
#>  [79] 0.587819881 0.679586469 0.667843094 0.714896682 0.225453313 0.738508195
#>  [85] 0.466401871 0.157088889 0.402911543 0.656139880 0.554261195 0.133059694
#>  [91] 0.488031149 0.100960769 0.621480392 0.868442364 0.351274784 0.703086063
#>  [97] 0.207782317 0.916107384 0.310096828 0.010779276 0.069480496 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   128    40 128.1   136   153   107    90    37   169   158    70     6    41 
#> 20.35 18.00 20.35 21.83 21.33 11.18 20.94 12.52 22.41 20.14  7.38 15.64 18.02 
#> 153.1    85    16    13   192   105    39   125   129    99     5    51   157 
#> 21.33 16.44  8.71 14.34 16.44 19.75 15.59 15.65 23.41 21.19 16.43 18.23 15.10 
#>    23   159    26   164   155    86   181   133 133.1 157.1 105.1    91 105.2 
#> 16.92 10.55 15.77 23.60 13.08 23.81 16.46 14.65 14.65 15.10 19.75  5.33 19.75 
#>    92    93 164.1   188    78   127    15 105.3   111 107.1  39.1    58 111.1 
#> 22.92 10.33 23.60 16.16 23.88  3.53 22.68 19.75 17.45 11.18 15.59 19.34 17.45 
#>   197   101    18    24 164.2   166   190  90.1    69    29    49  37.1   168 
#> 21.60  9.97 15.21 23.89 23.60 19.98 20.81 20.94 23.23 15.45 12.19 12.52 23.72 
#>   150    77 101.1    45  69.1  49.1  49.2    55  70.1   145    42  85.1    36 
#> 20.33  7.27  9.97 17.42 23.23 12.19 12.19 19.34  7.38 10.07 12.43 16.44 21.19 
#> 157.2  13.1    57 155.1 158.1   123    79  90.2   171    96   167  99.1   100 
#> 15.10 14.34 14.46 13.08 20.14 13.00 16.23 20.94 16.57 14.54 15.55 21.19 16.07 
#> 197.1   180    61   117    60 150.1  16.1   179 168.1    63    98     3   160 
#> 21.60 14.82 10.12 17.46 13.15 20.33  8.71 18.63 23.72 22.77 24.00 24.00 24.00 
#>   126     1   198    94    72   173   141   119    47   143    87    65 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    33   148  33.1   172   103   132    35 160.1   135   131    28    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19    38  35.1    34  65.1   165   112  72.1   144   161    20 141.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2   102   3.1  72.2    71 112.1   146 148.1   147    84   185  94.1 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67 172.2 102.1 172.3 143.1 132.1    48   137  47.1  94.2 112.2    64   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1    46 198.2 146.1  65.2   186 102.2  28.1  19.1    62   193 198.3 112.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.4 147.1 161.1 112.4   121 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001402052               0.588896534               0.355810945 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.030850417            -0.003781511            -0.180427242 
#>   grade_iii, Cure model 
#>             1.057950951 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 50    10.02      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 100   16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 123   13.00      1  44        1         0
#> 105   19.75      1  60        0         0
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 36    21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 16     8.71      1  71        0         1
#> 25     6.32      1  34        1         0
#> 97    19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 60    13.15      1  38        1         0
#> 175   21.91      1  43        0         0
#> 108   18.29      1  39        0         1
#> 43    12.10      1  61        0         1
#> 50.1  10.02      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 5     16.43      1  51        0         1
#> 45    17.42      1  54        0         1
#> 199.1 19.81      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 16.1   8.71      1  71        0         1
#> 190   20.81      1  42        1         0
#> 68    20.62      1  44        0         0
#> 92    22.92      1  47        0         1
#> 125   15.65      1  67        1         0
#> 76    19.22      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 78    23.88      1  43        0         0
#> 52.2  10.42      1  52        0         1
#> 140   12.68      1  59        1         0
#> 58    19.34      1  39        0         0
#> 110   17.56      1  65        0         1
#> 108.1 18.29      1  39        0         1
#> 169   22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 199.2 19.81      1  NA        0         1
#> 150.1 20.33      1  48        0         0
#> 78.1  23.88      1  43        0         0
#> 192   16.44      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 13    14.34      1  54        0         1
#> 101    9.97      1  10        0         1
#> 199.3 19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 159   10.55      1  50        0         1
#> 41.1  18.02      1  40        1         0
#> 8     18.43      1  32        0         0
#> 134   17.81      1  47        1         0
#> 8.1   18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 105.2 19.75      1  60        0         0
#> 100.1 16.07      1  60        0         0
#> 194   22.40      1  38        0         1
#> 100.2 16.07      1  60        0         0
#> 41.2  18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 194.1 22.40      1  38        0         1
#> 13.1  14.34      1  54        0         1
#> 130   16.47      1  53        0         1
#> 99    21.19      1  38        0         1
#> 171   16.57      1  41        0         1
#> 159.1 10.55      1  50        0         1
#> 61    10.12      1  36        0         1
#> 30    17.43      1  78        0         0
#> 13.2  14.34      1  54        0         1
#> 107   11.18      1  54        1         0
#> 157   15.10      1  47        0         0
#> 111   17.45      1  47        0         1
#> 124.1  9.73      1  NA        1         0
#> 52.3  10.42      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 117   17.46      1  26        0         1
#> 154   12.63      1  20        1         0
#> 170   19.54      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 61.1  10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 86.1  23.81      1  58        0         1
#> 117.1 17.46      1  26        0         1
#> 39    15.59      1  37        0         1
#> 76.1  19.22      1  54        0         1
#> 68.1  20.62      1  44        0         0
#> 91     5.33      1  61        0         1
#> 41.3  18.02      1  40        1         0
#> 14.1  12.89      1  21        0         0
#> 86.2  23.81      1  58        0         1
#> 5.1   16.43      1  51        0         1
#> 45.1  17.42      1  54        0         1
#> 26    15.77      1  49        0         1
#> 89.1  11.44      1  NA        0         0
#> 56    12.21      1  60        0         0
#> 42    12.43      1  49        0         1
#> 159.2 10.55      1  50        0         1
#> 32    20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 166.1 19.98      1  48        0         0
#> 150.2 20.33      1  48        0         0
#> 18    15.21      1  49        1         0
#> 36.1  21.19      1  48        0         1
#> 77     7.27      1  67        0         1
#> 123.1 13.00      1  44        1         0
#> 84    24.00      0  39        0         1
#> 112   24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 1     24.00      0  23        1         0
#> 48    24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 144   24.00      0  28        0         1
#> 22    24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 165   24.00      0  47        0         0
#> 34.1  24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 47    24.00      0  38        0         1
#> 75    24.00      0  21        1         0
#> 27    24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 62    24.00      0  71        0         0
#> 22.1  24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 178.1 24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 95    24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 98    24.00      0  34        1         0
#> 120.1 24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 62.1  24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 72.1  24.00      0  40        0         1
#> 46    24.00      0  71        0         0
#> 161.2 24.00      0  45        0         0
#> 22.2  24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 31.1  24.00      0  36        0         1
#> 72.2  24.00      0  40        0         1
#> 196.1 24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 198.1 24.00      0  66        0         1
#> 121   24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 2     24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 67.1  24.00      0  25        0         0
#> 35    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 200   24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 165.1 24.00      0  47        0         0
#> 28.2  24.00      0  67        1         0
#> 163   24.00      0  66        0         0
#> 34.2  24.00      0  36        0         0
#> 165.2 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 95.1  24.00      0  68        0         1
#> 126.1 24.00      0  48        0         0
#> 21.1  24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 174.1 24.00      0  49        1         0
#> 174.2 24.00      0  49        1         0
#> 82    24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 138   24.00      0  44        1         0
#> 121.1 24.00      0  57        1         0
#> 67.2  24.00      0  25        0         0
#> 46.2  24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 132.1 24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0309         NA        NA      NA
#> 2 age, Cure model         -0.00378        NA        NA      NA
#> 3 grade_ii, Cure model    -0.180          NA        NA      NA
#> 4 grade_iii, Cure model    1.06           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00140        NA        NA      NA
#> 2 grade_ii, Survival model   0.589          NA        NA      NA
#> 3 grade_iii, Survival model  0.356          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.030850         -0.003782         -0.180427          1.057951  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 247.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.030850417     -0.003781511     -0.180427242      1.057950951 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001402052      0.588896534      0.355810945 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.95908249 0.68165100 0.91041012 0.81523773 0.38481368 0.33218147
#>   [7] 0.75363796 0.24224731 0.13178894 0.96598914 0.98646361 0.46732872
#>  [13] 0.08460629 0.79998005 0.22913379 0.49732730 0.87457276 0.38481368
#>  [19] 0.52658737 0.65711818 0.61484730 0.83016651 0.96598914 0.28832034
#>  [25] 0.29947837 0.14782239 0.71390943 0.44713707 0.91041012 0.03300026
#>  [31] 0.91041012 0.84508727 0.42644138 0.57114623 0.49732730 0.18943404
#>  [37] 0.76928867 0.33218147 0.03300026 0.64877703 0.42644138 0.72191825
#>  [43] 0.77711262 0.95212678 0.32127802 0.88912199 0.52658737 0.47741193
#>  [49] 0.56216675 0.47741193 0.36362376 0.75363796 0.38481368 0.68165100
#>  [55] 0.20356942 0.68165100 0.52658737 0.20356942 0.77711262 0.64034020
#>  [61] 0.24224731 0.63184320 0.88912199 0.93822087 0.60615932 0.77711262
#>  [67] 0.88187569 0.74576280 0.59745693 0.91041012 0.14782239 0.17522858
#>  [73] 0.58004686 0.85251780 0.41593594 0.80761023 0.93822087 0.67347467
#>  [79] 0.08460629 0.58004686 0.72992208 0.44713707 0.29947837 0.99324460
#>  [85] 0.52658737 0.83016651 0.08460629 0.65711818 0.61484730 0.70581163
#>  [91] 0.86723584 0.85989347 0.88912199 0.27675452 0.51684611 0.36362376
#>  [97] 0.33218147 0.73788198 0.24224731 0.97964089 0.81523773 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   183   100    52   123   105   150   180    36   129    16    25    97    86 
#>  9.24 16.07 10.42 13.00 19.75 20.33 14.82 21.19 23.41  8.71  6.32 19.14 23.81 
#>    60   175   108    43 105.1    41     5    45    14  16.1   190    68    92 
#> 13.15 21.91 18.29 12.10 19.75 18.02 16.43 17.42 12.89  8.71 20.81 20.62 22.92 
#>   125    76  52.1    78  52.2   140    58   110 108.1   169    57 150.1  78.1 
#> 15.65 19.22 10.42 23.88 10.42 12.68 19.34 17.56 18.29 22.41 14.46 20.33 23.88 
#>   192  58.1     6    13   101   128   159  41.1     8   134   8.1   166 180.1 
#> 16.44 19.34 15.64 14.34  9.97 20.35 10.55 18.02 18.43 17.81 18.43 19.98 14.82 
#> 105.2 100.1   194 100.2  41.2 194.1  13.1   130    99   171 159.1    61    30 
#> 19.75 16.07 22.40 16.07 18.02 22.40 14.34 16.47 21.19 16.57 10.55 10.12 17.43 
#>  13.2   107   157   111  52.3  92.1    15   117   154   170   155  61.1   188 
#> 14.34 11.18 15.10 17.45 10.42 22.92 22.68 17.46 12.63 19.54 13.08 10.12 16.16 
#>  86.1 117.1    39  76.1  68.1    91  41.3  14.1  86.2   5.1  45.1    26    56 
#> 23.81 17.46 15.59 19.22 20.62  5.33 18.02 12.89 23.81 16.43 17.42 15.77 12.21 
#>    42 159.2    32    51 166.1 150.2    18  36.1    77 123.1    84   112    33 
#> 12.43 10.55 20.90 18.23 19.98 20.33 15.21 21.19  7.27 13.00 24.00 24.00 24.00 
#>    17    34    87     1    48   156    28   144    22    67   165  34.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47    75    27   178    12    62  22.1   142 178.1    38   116    21    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   161 161.1    95   120   135   186    72    98 120.1   132  62.1    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1    46 161.2  22.2     7  31.1  72.2 196.1   118  28.1    65    54   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1   121  46.1   126   119     2   174  67.1    35   182   200    94 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.2   163  34.2 165.2   191  95.1 126.1  21.1    74 174.1 174.2    82   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   138 121.1  67.2  46.2   176 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001879788               0.472263463               0.873388129 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.69562015              0.01550538             -0.06424231 
#>   grade_iii, Cure model 
#>              0.57423015 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 59    10.16      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 63    22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 124    9.73      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 63.1  22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 139   21.49      1  63        1         0
#> 189   10.51      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 10    10.53      1  34        0         0
#> 40    18.00      1  28        1         0
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 133.1 14.65      1  57        0         0
#> 197   21.60      1  69        1         0
#> 96    14.54      1  33        0         1
#> 92    22.92      1  47        0         1
#> 129   23.41      1  53        1         0
#> 145   10.07      1  65        1         0
#> 183    9.24      1  67        1         0
#> 154   12.63      1  20        1         0
#> 78    23.88      1  43        0         0
#> 197.1 21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 197.2 21.60      1  69        1         0
#> 139.1 21.49      1  63        1         0
#> 60    13.15      1  38        1         0
#> 40.1  18.00      1  28        1         0
#> 40.2  18.00      1  28        1         0
#> 89    11.44      1  NA        0         0
#> 78.1  23.88      1  43        0         0
#> 117   17.46      1  26        0         1
#> 150   20.33      1  48        0         0
#> 177   12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 52    10.42      1  52        0         1
#> 93.1  10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 15    22.68      1  48        0         0
#> 139.2 21.49      1  63        1         0
#> 15.1  22.68      1  48        0         0
#> 77     7.27      1  67        0         1
#> 89.1  11.44      1  NA        0         0
#> 130   16.47      1  53        0         1
#> 190   20.81      1  42        1         0
#> 183.1  9.24      1  67        1         0
#> 41    18.02      1  40        1         0
#> 55    19.34      1  69        0         1
#> 171   16.57      1  41        0         1
#> 25     6.32      1  34        1         0
#> 171.1 16.57      1  41        0         1
#> 16     8.71      1  71        0         1
#> 90    20.94      1  50        0         1
#> 183.2  9.24      1  67        1         0
#> 180   14.82      1  37        0         0
#> 51    18.23      1  83        0         1
#> 97.1  19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 134   17.81      1  47        1         0
#> 124.1  9.73      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 127.1  3.53      1  62        0         1
#> 167   15.55      1  56        1         0
#> 32    20.90      1  37        1         0
#> 134.1 17.81      1  47        1         0
#> 90.1  20.94      1  50        0         1
#> 92.1  22.92      1  47        0         1
#> 78.2  23.88      1  43        0         0
#> 166.1 19.98      1  48        0         0
#> 168   23.72      1  70        0         0
#> 4     17.64      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 169   22.41      1  46        0         0
#> 124.2  9.73      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 45.1  17.42      1  54        0         1
#> 42    12.43      1  49        0         1
#> 61    10.12      1  36        0         1
#> 61.1  10.12      1  36        0         1
#> 18    15.21      1  49        1         0
#> 192   16.44      1  31        1         0
#> 40.3  18.00      1  28        1         0
#> 199   19.81      1  NA        0         1
#> 63.2  22.77      1  31        1         0
#> 136   21.83      1  43        0         1
#> 68    20.62      1  44        0         0
#> 192.1 16.44      1  31        1         0
#> 15.2  22.68      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 68.1  20.62      1  44        0         0
#> 37    12.52      1  57        1         0
#> 130.1 16.47      1  53        0         1
#> 123   13.00      1  44        1         0
#> 40.4  18.00      1  28        1         0
#> 111   17.45      1  47        0         1
#> 39    15.59      1  37        0         1
#> 92.2  22.92      1  47        0         1
#> 93.2  10.33      1  52        0         1
#> 23    16.92      1  61        0         0
#> 129.1 23.41      1  53        1         0
#> 169.1 22.41      1  46        0         0
#> 32.1  20.90      1  37        1         0
#> 150.1 20.33      1  48        0         0
#> 81    14.06      1  34        0         0
#> 166.2 19.98      1  48        0         0
#> 157   15.10      1  47        0         0
#> 23.1  16.92      1  61        0         0
#> 176   24.00      0  43        0         1
#> 74    24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 138   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 163   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 38    24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 19    24.00      0  57        0         1
#> 53.1  24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 151   24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 48    24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 48.1  24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 72.1  24.00      0  40        0         1
#> 54    24.00      0  53        1         0
#> 118.1 24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 102.1 24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 67    24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 1     24.00      0  23        1         0
#> 103.1 24.00      0  56        1         0
#> 160   24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 109.1 24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 71.1  24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 174   24.00      0  49        1         0
#> 46    24.00      0  71        0         0
#> 137.1 24.00      0  45        1         0
#> 71.2  24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 1.1   24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 54.1  24.00      0  53        1         0
#> 148   24.00      0  61        1         0
#> 191   24.00      0  60        0         1
#> 161.1 24.00      0  45        0         0
#> 141.1 24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 7.1   24.00      0  37        1         0
#> 22    24.00      0  52        1         0
#> 28.2  24.00      0  67        1         0
#> 115.1 24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 162.1 24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 196.2 24.00      0  19        0         0
#> 17    24.00      0  38        0         1
#> 162.2 24.00      0  51        0         0
#> 196.3 24.00      0  19        0         0
#> 121.1 24.00      0  57        1         0
#> 54.2  24.00      0  53        1         0
#> 98    24.00      0  34        1         0
#> 31.1  24.00      0  36        0         1
#> 54.3  24.00      0  53        1         0
#> 102.2 24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.696         NA        NA      NA
#> 2 age, Cure model           0.0155        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0642        NA        NA      NA
#> 4 grade_iii, Cure model     0.574         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00188        NA        NA      NA
#> 2 grade_ii, Survival model   0.472          NA        NA      NA
#> 3 grade_iii, Survival model  0.873          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.69562           0.01551          -0.06424           0.57423  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 252.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.69562015       0.01550538      -0.06424231       0.57423015 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001879788      0.472263463      0.873388129 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.55181135 0.98443359 0.91306109 0.27039987 0.54230613 0.94670940
#>   [7] 0.27039987 0.79611163 0.42247539 0.98969330 0.90125900 0.63088599
#>  [13] 0.68461047 0.83412696 0.83412696 0.38823686 0.84662873 0.22632169
#>  [19] 0.18127107 0.94115422 0.95221802 0.87725441 0.07546750 0.38823686
#>  [25] 0.76333178 0.38823686 0.42247539 0.86509144 0.63088599 0.63088599
#>  [31] 0.07546750 0.69232357 0.52318225 0.88329238 0.85283169 0.90719154
#>  [37] 0.91306109 0.59746202 0.30998434 0.42247539 0.30998434 0.97379807
#>  [43] 0.74986951 0.49427192 0.95221802 0.62266391 0.57970519 0.73599735
#>  [49] 0.97912608 0.73599735 0.96841955 0.45461873 0.95221802 0.82784179
#>  [55] 0.61436192 0.59746202 0.78317984 0.66925844 0.78317984 0.98969330
#>  [61] 0.80893000 0.47474288 0.66925844 0.45461873 0.22632169 0.07546750
#>  [67] 0.55181135 0.15097073 0.70736316 0.34910449 0.02974445 0.70736316
#>  [73] 0.89532389 0.93002345 0.93002345 0.81526012 0.76333178 0.63088599
#>  [79] 0.27039987 0.37551699 0.50399223 0.76333178 0.30998434 0.57970519
#>  [85] 0.50399223 0.88932411 0.74986951 0.87118867 0.63088599 0.69990865
#>  [91] 0.80256093 0.22632169 0.91306109 0.72169751 0.18127107 0.34910449
#>  [97] 0.47474288 0.52318225 0.85896301 0.55181135 0.82155318 0.72169751
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   166    91    93    63   158   101  63.1   125   139   127    10    40   184 
#> 19.98  5.33 10.33 22.77 20.14  9.97 22.77 15.65 21.49  3.53 10.53 18.00 17.77 
#>   133 133.1   197    96    92   129   145   183   154    78 197.1    85 197.2 
#> 14.65 14.65 21.60 14.54 22.92 23.41 10.07  9.24 12.63 23.88 21.60 16.44 21.60 
#> 139.1    60  40.1  40.2  78.1   117   150   177    57    52  93.1    97    15 
#> 21.49 13.15 18.00 18.00 23.88 17.46 20.33 12.53 14.46 10.42 10.33 19.14 22.68 
#> 139.2  15.1    77   130   190 183.1    41    55   171    25 171.1    16    90 
#> 21.49 22.68  7.27 16.47 20.81  9.24 18.02 19.34 16.57  6.32 16.57  8.71 20.94 
#> 183.2   180    51  97.1    26   134  26.1 127.1   167    32 134.1  90.1  92.1 
#>  9.24 14.82 18.23 19.14 15.77 17.81 15.77  3.53 15.55 20.90 17.81 20.94 22.92 
#>  78.2 166.1   168    45   169    24  45.1    42    61  61.1    18   192  40.3 
#> 23.88 19.98 23.72 17.42 22.41 23.89 17.42 12.43 10.12 10.12 15.21 16.44 18.00 
#>  63.2   136    68 192.1  15.2  55.1  68.1    37 130.1   123  40.4   111    39 
#> 22.77 21.83 20.62 16.44 22.68 19.34 20.62 12.52 16.47 13.00 18.00 17.45 15.59 
#>  92.2  93.2    23 129.1 169.1  32.1 150.1    81 166.2   157  23.1   176    74 
#> 22.92 10.33 16.92 23.41 22.41 20.90 20.33 14.06 19.98 15.10 16.92 24.00 24.00 
#>   196 196.1   109   141  74.1   173   137   156   138    53   163   121   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   132    38    11    19  53.1   103   151   104   131    31   102    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72  48.1    95  72.1    54 118.1   120   112 102.1    71   161    67   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28     1 103.1   160    27    84 109.1  28.1  71.1 156.1   174    46 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2   186    47 104.1   1.1  54.1   148   191 161.1 141.1   172   144   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  28.2   143 163.1 162.1   185    94 196.2    17 162.2 196.3 121.1  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98  31.1  54.3 102.2   178 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0001448995              0.7414452832              0.4636963007 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.82415665              0.02219934             -0.22325238 
#>   grade_iii, Cure model 
#>              0.21883334 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 150   20.33      1  48        0         0
#> 85    16.44      1  36        0         0
#> 155   13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 155.1 13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 180   14.82      1  37        0         0
#> 177   12.53      1  75        0         0
#> 129   23.41      1  53        1         0
#> 127    3.53      1  62        0         1
#> 81    14.06      1  34        0         0
#> 111   17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 108   18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 113   22.86      1  34        0         0
#> 166   19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 41    18.02      1  40        1         0
#> 110   17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 155.2 13.08      1  26        0         0
#> 181   16.46      1  45        0         1
#> 150.1 20.33      1  48        0         0
#> 15    22.68      1  48        0         0
#> 125   15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 24    23.89      1  38        0         0
#> 140   12.68      1  59        1         0
#> 181.1 16.46      1  45        0         1
#> 124.1  9.73      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 171   16.57      1  41        0         1
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 36    21.19      1  48        0         1
#> 150.2 20.33      1  48        0         0
#> 114.1 13.68      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 79    16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 190   20.81      1  42        1         0
#> 30    17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 36.1  21.19      1  48        0         1
#> 43    12.10      1  61        0         1
#> 110.1 17.56      1  65        0         1
#> 136.1 21.83      1  43        0         1
#> 100   16.07      1  60        0         0
#> 79.1  16.23      1  54        1         0
#> 192   16.44      1  31        1         0
#> 30.1  17.43      1  78        0         0
#> 140.1 12.68      1  59        1         0
#> 188   16.16      1  46        0         1
#> 52.1  10.42      1  52        0         1
#> 150.3 20.33      1  48        0         0
#> 166.1 19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 88    18.37      1  47        0         0
#> 157   15.10      1  47        0         0
#> 49    12.19      1  48        1         0
#> 195   11.76      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 36.2  21.19      1  48        0         1
#> 29    15.45      1  68        1         0
#> 123   13.00      1  44        1         0
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 66    22.13      1  53        0         0
#> 187.1  9.92      1  39        1         0
#> 171.1 16.57      1  41        0         1
#> 59    10.16      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 43.1  12.10      1  61        0         1
#> 117   17.46      1  26        0         1
#> 154   12.63      1  20        1         0
#> 76    19.22      1  54        0         1
#> 60.1  13.15      1  38        1         0
#> 101.1  9.97      1  10        0         1
#> 88.1  18.37      1  47        0         0
#> 8     18.43      1  32        0         0
#> 13    14.34      1  54        0         1
#> 29.1  15.45      1  68        1         0
#> 159   10.55      1  50        0         1
#> 24.1  23.89      1  38        0         0
#> 88.2  18.37      1  47        0         0
#> 166.2 19.98      1  48        0         0
#> 39    15.59      1  37        0         1
#> 128   20.35      1  35        0         1
#> 15.1  22.68      1  48        0         0
#> 123.1 13.00      1  44        1         0
#> 123.2 13.00      1  44        1         0
#> 79.2  16.23      1  54        1         0
#> 79.3  16.23      1  54        1         0
#> 56.1  12.21      1  60        0         0
#> 107   11.18      1  54        1         0
#> 59.1  10.16      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 36.3  21.19      1  48        0         1
#> 18    15.21      1  49        1         0
#> 130   16.47      1  53        0         1
#> 181.2 16.46      1  45        0         1
#> 119   24.00      0  17        0         0
#> 143   24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 178   24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 174   24.00      0  49        1         0
#> 7.1   24.00      0  37        1         0
#> 72    24.00      0  40        0         1
#> 67    24.00      0  25        0         0
#> 120   24.00      0  68        0         1
#> 72.1  24.00      0  40        0         1
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 176.1 24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 143.1 24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 135.1 24.00      0  58        1         0
#> 31    24.00      0  36        0         1
#> 73.1  24.00      0  NA        0         1
#> 48    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 156   24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 200   24.00      0  64        0         0
#> 95    24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 9     24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 121   24.00      0  57        1         0
#> 67.1  24.00      0  25        0         0
#> 74    24.00      0  43        0         1
#> 67.2  24.00      0  25        0         0
#> 173.1 24.00      0  19        0         1
#> 20.1  24.00      0  46        1         0
#> 196.1 24.00      0  19        0         0
#> 116   24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 147   24.00      0  76        1         0
#> 135.2 24.00      0  58        1         0
#> 75    24.00      0  21        1         0
#> 162   24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 9.1   24.00      0  31        1         0
#> 7.2   24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 160.1 24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 11    24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 135.3 24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 95.1  24.00      0  68        0         1
#> 53.1  24.00      0  32        0         1
#> 141   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 119.1 24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 119.2 24.00      0  17        0         0
#> 142.1 24.00      0  53        0         0
#> 198.1 24.00      0  66        0         1
#> 82    24.00      0  34        0         0
#> 62.1  24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 161.1 24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 12.1  24.00      0  63        0         0
#> 138   24.00      0  44        1         0
#> 173.2 24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 115   24.00      0  NA        1         0
#> 152.1 24.00      0  36        0         1
#> 112.1 24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 102.1 24.00      0  49        0         0
#> 72.2  24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.824         NA        NA      NA
#> 2 age, Cure model           0.0222        NA        NA      NA
#> 3 grade_ii, Cure model     -0.223         NA        NA      NA
#> 4 grade_iii, Cure model     0.219         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000145        NA        NA      NA
#> 2 grade_ii, Survival model   0.741           NA        NA      NA
#> 3 grade_iii, Survival model  0.464           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.8242            0.0222           -0.2233            0.2188  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 252.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.82415665       0.02219934      -0.22325238       0.21883334 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0001448995     0.7414452832     0.4636963007 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.06026571 0.31865737 0.63242835 0.79212713 0.56921321 0.79212713
#>   [7] 0.24490105 0.74623463 0.85761921 0.10493521 0.99350813 0.76944727
#>  [13] 0.54115809 0.77713962 0.47271941 0.23162087 0.98051812 0.12198428
#>  [19] 0.35910439 0.21746259 0.48298077 0.51263584 0.79212713 0.60608014
#>  [25] 0.31865737 0.13904898 0.69882072 0.40046138 0.02204844 0.83623315
#>  [31] 0.60608014 0.96742862 0.57861840 0.93397336 0.08426933 0.24490105
#>  [37] 0.31865737 0.94742281 0.18807623 0.64985389 0.42141694 0.29719921
#>  [43] 0.55056094 0.38990807 0.92716740 0.95414372 0.24490105 0.89289828
#>  [49] 0.51263584 0.18807623 0.69059775 0.64985389 0.63242835 0.55056094
#>  [55] 0.83623315 0.68237563 0.93397336 0.31865737 0.35910439 0.50282266
#>  [61] 0.44222257 0.73845147 0.88588625 0.87179725 0.24490105 0.71500667
#>  [67] 0.81450414 0.75401823 0.49301055 0.17116863 0.96742862 0.57861840
#>  [73] 0.98051812 0.89289828 0.53165966 0.85051402 0.41101628 0.77713962
#>  [79] 0.95414372 0.44222257 0.43181917 0.76175531 0.71500667 0.92036168
#>  [85] 0.02204844 0.44222257 0.35910439 0.70694063 0.30803698 0.13904898
#>  [91] 0.81450414 0.81450414 0.64985389 0.64985389 0.87179725 0.90674253
#>  [97] 0.90674253 0.86472505 0.24490105 0.73066887 0.59693314 0.60608014
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    78   150    85   155    23 155.1    99   180   177   129   127    81   111 
#> 23.88 20.33 16.44 13.08 16.92 13.08 21.19 14.82 12.53 23.41  3.53 14.06 17.45 
#>    60   108   153    16   113   166   197    41   110 155.2   181 150.1    15 
#> 13.15 18.29 21.33  8.71 22.86 19.98 21.60 18.02 17.56 13.08 16.46 20.33 22.68 
#>   125    58    24   140 181.1   187   171    52    86    36 150.2    61   136 
#> 15.65 19.34 23.89 12.68 16.46  9.92 16.57 10.42 23.81 21.19 20.33 10.12 21.83 
#>    79   179   190    30   105    10   101  36.1    43 110.1 136.1   100  79.1 
#> 16.23 18.63 20.81 17.43 19.75 10.53  9.97 21.19 12.10 17.56 21.83 16.07 16.23 
#>   192  30.1 140.1   188  52.1 150.3 166.1   184    88   157    49    56  36.2 
#> 16.44 17.43 12.68 16.16 10.42 20.33 19.98 17.77 18.37 15.10 12.19 12.21 21.19 
#>    29   123    96    40    66 187.1 171.1  16.1  43.1   117   154    76  60.1 
#> 15.45 13.00 14.54 18.00 22.13  9.92 16.57  8.71 12.10 17.46 12.63 19.22 13.15 
#> 101.1  88.1     8    13  29.1   159  24.1  88.2 166.2    39   128  15.1 123.1 
#>  9.97 18.37 18.43 14.34 15.45 10.55 23.89 18.37 19.98 15.59 20.35 22.68 13.00 
#> 123.2  79.2  79.3  56.1   107 107.1    42  36.3    18   130 181.2   119   143 
#> 13.00 16.23 16.23 12.21 11.18 11.18 12.43 21.19 15.21 16.47 16.46 24.00 24.00 
#>     7    94   178    38   174   7.1    72    67   120  72.1   196   176 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    71   152   137 143.1   161 135.1    31    48    17   156   173   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95    34     9   126   160   185  48.1    20   121  67.1    74  67.2 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1 196.1   116   198   147 135.2    75   162 185.1   9.1   7.2    62 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1    53    11     3 135.3     1   172   142  95.1  53.1   141    84 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 119.2 142.1 198.1    82  62.1    12 161.1    64  12.1   138 173.2   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1 112.1   102 102.1  72.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02099732                0.35106693                0.42376108 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00479053              0.01534703              0.29172198 
#>   grade_iii, Cure model 
#>              1.13458802 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 24    23.89      1  38        0         0
#> 36    21.19      1  48        0         1
#> 110   17.56      1  65        0         1
#> 166   19.98      1  48        0         0
#> 106   16.67      1  49        1         0
#> 69    23.23      1  25        0         1
#> 110.1 17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 39    15.59      1  37        0         1
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 29    15.45      1  68        1         0
#> 68    20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 93    10.33      1  52        0         1
#> 171   16.57      1  41        0         1
#> 113   22.86      1  34        0         0
#> 99.1  21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 78    23.88      1  43        0         0
#> 93.1  10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 166.1 19.98      1  48        0         0
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 97    19.14      1  65        0         1
#> 157   15.10      1  47        0         0
#> 81.1  14.06      1  34        0         0
#> 55    19.34      1  69        0         1
#> 5     16.43      1  51        0         1
#> 40    18.00      1  28        1         0
#> 100   16.07      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 6     15.64      1  39        0         0
#> 90    20.94      1  50        0         1
#> 181   16.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 63.1  22.77      1  31        1         0
#> 183    9.24      1  67        1         0
#> 43.1  12.10      1  61        0         1
#> 32    20.90      1  37        1         0
#> 42.1  12.43      1  49        0         1
#> 101    9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 170   19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 52    10.42      1  52        0         1
#> 26    15.77      1  49        0         1
#> 91     5.33      1  61        0         1
#> 117   17.46      1  26        0         1
#> 124    9.73      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 59    10.16      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 69.2  23.23      1  25        0         1
#> 69.3  23.23      1  25        0         1
#> 107   11.18      1  54        1         0
#> 63.2  22.77      1  31        1         0
#> 136.1 21.83      1  43        0         1
#> 190   20.81      1  42        1         0
#> 40.1  18.00      1  28        1         0
#> 5.1   16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 129   23.41      1  53        1         0
#> 51    18.23      1  83        0         1
#> 79.1  16.23      1  54        1         0
#> 158.1 20.14      1  74        1         0
#> 106.1 16.67      1  49        1         0
#> 97.1  19.14      1  65        0         1
#> 43.2  12.10      1  61        0         1
#> 79.2  16.23      1  54        1         0
#> 25     6.32      1  34        1         0
#> 37    12.52      1  57        1         0
#> 129.1 23.41      1  53        1         0
#> 97.2  19.14      1  65        0         1
#> 194.1 22.40      1  38        0         1
#> 59.1  10.16      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 169.1 22.41      1  46        0         0
#> 195.1 11.76      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 139   21.49      1  63        1         0
#> 39.1  15.59      1  37        0         1
#> 136.2 21.83      1  43        0         1
#> 134   17.81      1  47        1         0
#> 105   19.75      1  60        0         0
#> 24.1  23.89      1  38        0         0
#> 81.2  14.06      1  34        0         0
#> 29.1  15.45      1  68        1         0
#> 92.1  22.92      1  47        0         1
#> 10    10.53      1  34        0         0
#> 93.2  10.33      1  52        0         1
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 145   10.07      1  65        1         0
#> 79.3  16.23      1  54        1         0
#> 139.1 21.49      1  63        1         0
#> 105.1 19.75      1  60        0         0
#> 93.3  10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 59.2  10.16      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 107.1 11.18      1  54        1         0
#> 89.1  11.44      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 176   24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 19    24.00      0  57        0         1
#> 73    24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 31    24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 103   24.00      0  56        1         0
#> 64    24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 148   24.00      0  61        1         0
#> 64.1  24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 71.1  24.00      0  51        0         0
#> 28.1  24.00      0  67        1         0
#> 112   24.00      0  61        0         0
#> 64.2  24.00      0  43        0         0
#> 191   24.00      0  60        0         1
#> 35    24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 115.1 24.00      0  NA        1         0
#> 83    24.00      0   6        0         0
#> 131   24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 174   24.00      0  49        1         0
#> 2     24.00      0   9        0         0
#> 35.1  24.00      0  51        0         0
#> 71.2  24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 200   24.00      0  64        0         0
#> 103.1 24.00      0  56        1         0
#> 141   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 191.1 24.00      0  60        0         1
#> 118   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 75.1  24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 48.1  24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 35.2  24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 65    24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 121.1 24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 160   24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 178.1 24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 173   24.00      0  19        0         1
#> 21    24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 135.1 24.00      0  58        1         0
#> 74    24.00      0  43        0         1
#> 3.1   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 126   24.00      0  48        0         0
#> 148.1 24.00      0  61        1         0
#> 148.2 24.00      0  61        1         0
#> 73.2  24.00      0  NA        0         1
#> 173.1 24.00      0  19        0         1
#> 122   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 182.1 24.00      0  35        0         0
#> 74.1  24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 176.2 24.00      0  43        0         1
#> 67.1  24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.00          NA        NA      NA
#> 2 age, Cure model           0.0153        NA        NA      NA
#> 3 grade_ii, Cure model      0.292         NA        NA      NA
#> 4 grade_iii, Cure model     1.13          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0210        NA        NA      NA
#> 2 grade_ii, Survival model    0.351         NA        NA      NA
#> 3 grade_iii, Survival model   0.424         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00479           0.01535           0.29172           1.13459  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 242.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00479053       0.01534703       0.29172198       1.13458802 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02099732       0.35106693       0.42376108 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6336951 0.2092349 0.6969894 0.8344094 0.7641486 0.8510329 0.4314124
#>   [8] 0.8344094 0.9462913 0.9021522 0.6969894 0.8779494 0.7522766 0.9088318
#>  [15] 0.7392269 0.9403160 0.9716719 0.8589625 0.5339418 0.6969894 0.5035095
#>  [22] 0.3282356 0.9716719 0.5873965 0.7641486 0.6444580 0.9216501 0.9522020
#>  [29] 0.5489297 0.7976119 0.9184734 0.9216501 0.7923309 0.8705641 0.8165371
#>  [36] 0.8918621 0.7392269 0.8987476 0.7185736 0.8667514 0.8299910 0.5489297
#>  [43] 0.9924669 0.9522020 0.7256023 0.9403160 0.9873324 0.6115918 0.7868486
#>  [50] 0.9492599 0.9689392 0.8953265 0.9975119 0.8427823 0.4314124 0.8628890
#>  [57] 0.4314124 0.4314124 0.9606496 0.5489297 0.6444580 0.7324916 0.8165371
#>  [64] 0.8705641 0.9152780 0.3793587 0.8119421 0.8779494 0.7522766 0.8510329
#>  [71] 0.7976119 0.9522020 0.8779494 0.9949955 0.9372600 0.3793587 0.7976119
#>  [78] 0.6115918 0.9821400 0.5873965 0.6724000 0.6812205 0.9021522 0.6444580
#>  [85] 0.8255437 0.7757082 0.2092349 0.9216501 0.9088318 0.5035095 0.9661788
#>  [92] 0.9716719 0.9341665 0.9847518 0.8779494 0.6812205 0.7757082 0.9716719
#>  [99] 0.9310465 0.8469452 0.9606496 0.9899071 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    66    24    36   110   166   106    69 110.1    56    39    99    79   158 
#> 22.13 23.89 21.19 17.56 19.98 16.67 23.23 17.56 12.21 15.59 21.19 16.23 20.14 
#>    29    68    42    93   171   113  99.1    92    78  93.1   169 166.1   136 
#> 15.45 20.62 12.43 10.33 16.57 22.86 21.19 22.92 23.88 10.33 22.41 19.98 21.83 
#>    81    43    63    97   157  81.1    55     5    40   100  68.1     6    90 
#> 14.06 12.10 22.77 19.14 15.10 14.06 19.34 16.43 18.00 16.07 20.62 15.64 20.94 
#>   181   184  63.1   183  43.1    32  42.1   101   194   170    49    52    26 
#> 16.46 17.77 22.77  9.24 12.10 20.90 12.43  9.97 22.40 19.54 12.19 10.42 15.77 
#>    91   117  69.1   130  69.2  69.3   107  63.2 136.1   190  40.1   5.1    18 
#>  5.33 17.46 23.23 16.47 23.23 23.23 11.18 22.77 21.83 20.81 18.00 16.43 15.21 
#>   129    51  79.1 158.1 106.1  97.1  43.2  79.2    25    37 129.1  97.2 194.1 
#> 23.41 18.23 16.23 20.14 16.67 19.14 12.10 16.23  6.32 12.52 23.41 19.14 22.40 
#>    61 169.1   197   139  39.1 136.2   134   105  24.1  81.2  29.1  92.1    10 
#> 10.12 22.41 21.60 21.49 15.59 21.83 17.81 19.75 23.89 14.06 15.45 22.92 10.53 
#>  93.2   123   145  79.3 139.1 105.1  93.3    60    45 107.1   187   176    75 
#> 10.33 13.00 10.07 16.23 21.49 19.75 10.33 13.15 17.42 11.18  9.92 24.00 24.00 
#>     1    19    31    33     9   116   103    64     3   9.1    46    22    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   135   148  64.1    71    48  71.1  28.1   112  64.2   191    35    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   131  22.1 176.1    11   174     2  35.1  71.2    54   200 103.1   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 191.1   118    72  75.1   121  48.1    67  35.2    38    34    53    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163 121.1   178   160   182 178.1  11.1   173    21  31.1 135.1    74   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104  72.1   126 148.1 148.2 173.1   122   161 182.1  74.1   165 176.2  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    94   151 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002662556               0.581245172               0.589567757 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.071391731            -0.001062665            -0.025804789 
#>   grade_iii, Cure model 
#>             1.078378357 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 108   18.29      1  39        0         1
#> 101    9.97      1  10        0         1
#> 106   16.67      1  49        1         0
#> 43    12.10      1  61        0         1
#> 10    10.53      1  34        0         0
#> 127    3.53      1  62        0         1
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 37    12.52      1  57        1         0
#> 157   15.10      1  47        0         0
#> 37.1  12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 133   14.65      1  57        0         0
#> 24    23.89      1  38        0         0
#> 192   16.44      1  31        1         0
#> 52    10.42      1  52        0         1
#> 194   22.40      1  38        0         1
#> 110   17.56      1  65        0         1
#> 39    15.59      1  37        0         1
#> 77     7.27      1  67        0         1
#> 70     7.38      1  30        1         0
#> 168   23.72      1  70        0         0
#> 179   18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 29    15.45      1  68        1         0
#> 4     17.64      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 8     18.43      1  32        0         0
#> 42    12.43      1  49        0         1
#> 100   16.07      1  60        0         0
#> 70.1   7.38      1  30        1         0
#> 39.1  15.59      1  37        0         1
#> 66    22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 89    11.44      1  NA        0         0
#> 13    14.34      1  54        0         1
#> 134   17.81      1  47        1         0
#> 42.1  12.43      1  49        0         1
#> 99    21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 105   19.75      1  60        0         0
#> 179.1 18.63      1  42        0         0
#> 88    18.37      1  47        0         0
#> 128.1 20.35      1  35        0         1
#> 129   23.41      1  53        1         0
#> 52.1  10.42      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 16     8.71      1  71        0         1
#> 50    10.02      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 37.2  12.52      1  57        1         0
#> 77.1   7.27      1  67        0         1
#> 57    14.46      1  45        0         1
#> 4.1   17.64      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 70.2   7.38      1  30        1         0
#> 93    10.33      1  52        0         1
#> 5     16.43      1  51        0         1
#> 39.2  15.59      1  37        0         1
#> 24.1  23.89      1  38        0         0
#> 192.1 16.44      1  31        1         0
#> 189.1 10.51      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 140   12.68      1  59        1         0
#> 85    16.44      1  36        0         0
#> 164   23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 41    18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 58    19.34      1  39        0         0
#> 140.1 12.68      1  59        1         0
#> 139.1 21.49      1  63        1         0
#> 23    16.92      1  61        0         0
#> 58.1  19.34      1  39        0         0
#> 159   10.55      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 96    14.54      1  33        0         1
#> 145   10.07      1  65        1         0
#> 99.1  21.19      1  38        0         1
#> 51    18.23      1  83        0         1
#> 58.2  19.34      1  39        0         0
#> 90    20.94      1  50        0         1
#> 88.1  18.37      1  47        0         0
#> 77.2   7.27      1  67        0         1
#> 13.1  14.34      1  54        0         1
#> 113   22.86      1  34        0         0
#> 153.1 21.33      1  55        1         0
#> 90.1  20.94      1  50        0         1
#> 133.2 14.65      1  57        0         0
#> 194.1 22.40      1  38        0         1
#> 39.3  15.59      1  37        0         1
#> 114   13.68      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 179.2 18.63      1  42        0         0
#> 113.1 22.86      1  34        0         0
#> 60    13.15      1  38        1         0
#> 32.1  20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 155   13.08      1  26        0         0
#> 187.1  9.92      1  39        1         0
#> 18    15.21      1  49        1         0
#> 49    12.19      1  48        1         0
#> 127.1  3.53      1  62        0         1
#> 124.1  9.73      1  NA        1         0
#> 113.2 22.86      1  34        0         0
#> 18.1  15.21      1  49        1         0
#> 174   24.00      0  49        1         0
#> 83    24.00      0   6        0         0
#> 98    24.00      0  34        1         0
#> 44    24.00      0  56        0         0
#> 20    24.00      0  46        1         0
#> 103   24.00      0  56        1         0
#> 146   24.00      0  63        1         0
#> 151   24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 83.1  24.00      0   6        0         0
#> 21    24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 121   24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 146.1 24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 135.2 24.00      0  58        1         0
#> 163.1 24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 104   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 44.1  24.00      0  56        0         0
#> 21.1  24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 103.2 24.00      0  56        1         0
#> 65    24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 34    24.00      0  36        0         0
#> 118.1 24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 152   24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 172   24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 121.1 24.00      0  57        1         0
#> 120   24.00      0  68        0         1
#> 17.1  24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 151.1 24.00      0  42        0         0
#> 135.3 24.00      0  58        1         0
#> 95.1  24.00      0  68        0         1
#> 87.1  24.00      0  27        0         0
#> 94.1  24.00      0  51        0         1
#> 35.1  24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 87.2  24.00      0  27        0         0
#> 172.1 24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 7     24.00      0  37        1         0
#> 143   24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 121.2 24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 118.2 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 75    24.00      0  21        1         0
#> 135.4 24.00      0  58        1         0
#> 7.1   24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 161   24.00      0  45        0         0
#> 87.3  24.00      0  27        0         0
#> 178.2 24.00      0  52        1         0
#> 143.1 24.00      0  51        0         0
#> 143.2 24.00      0  51        0         0
#> 87.4  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0714         NA        NA      NA
#> 2 age, Cure model         -0.00106        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0258         NA        NA      NA
#> 4 grade_iii, Cure model    1.08           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00266        NA        NA      NA
#> 2 grade_ii, Survival model   0.581          NA        NA      NA
#> 3 grade_iii, Survival model  0.590          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.071392         -0.001063         -0.025805          1.078378  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 250.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.071391731     -0.001062665     -0.025804789      1.078378357 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002662556      0.581245172      0.589567757 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.59147460 0.93136658 0.65808140 0.88232481 0.90100669 0.98890291
#>   [7] 0.52112895 0.40761037 0.84403103 0.75483531 0.84403103 0.88859851
#>  [13] 0.76194415 0.03779182 0.66604383 0.90718397 0.27124319 0.63375908
#>  [19] 0.70445644 0.97209209 0.95493856 0.09330426 0.53008507 0.62545925
#>  [25] 0.73340361 0.42771635 0.55634745 0.86330386 0.69678861 0.95493856
#>  [31] 0.70445644 0.29983145 0.43786037 0.79693951 0.61714768 0.86330386
#>  [37] 0.36407339 0.48557342 0.34019369 0.47616491 0.53008507 0.57394683
#>  [43] 0.43786037 0.14933809 0.90718397 0.55634745 0.94908705 0.31437603
#>  [49] 0.45705288 0.84403103 0.97209209 0.78999001 0.23817388 0.46672408
#>  [55] 0.95493856 0.91932007 0.68910614 0.70445644 0.03779182 0.66604383
#>  [61] 0.25477823 0.83080528 0.66604383 0.12501698 0.82404789 0.60871959
#>  [67] 0.64193640 0.48557342 0.83080528 0.31437603 0.65001774 0.48557342
#>  [73] 0.89482540 0.76194415 0.78297679 0.92536540 0.36407339 0.60017446
#>  [79] 0.48557342 0.38649077 0.57394683 0.97209209 0.79693951 0.18874116
#>  [85] 0.34019369 0.38649077 0.76194415 0.27124319 0.70445644 0.93733500
#>  [91] 0.53008507 0.18874116 0.81052272 0.40761037 0.17009221 0.81728731
#>  [97] 0.93733500 0.74066687 0.87600070 0.98890291 0.18874116 0.74066687
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   108   101   106    43    10   127    76    32    37   157  37.1   107   133 
#> 18.29  9.97 16.67 12.10 10.53  3.53 19.22 20.90 12.52 15.10 12.52 11.18 14.65 
#>    24   192    52   194   110    39    77    70   168   179   184    29    68 
#> 23.89 16.44 10.42 22.40 17.56 15.59  7.27  7.38 23.72 18.63 17.77 15.45 20.62 
#>     8    42   100  70.1  39.1    66   128    13   134  42.1    99    55   153 
#> 18.43 12.43 16.07  7.38 15.59 22.13 20.35 14.34 17.81 12.43 21.19 19.34 21.33 
#>   105 179.1    88 128.1   129  52.1   8.1    16   139   150  37.2  77.1    57 
#> 19.75 18.63 18.37 20.35 23.41 10.42 18.43  8.71 21.49 20.33 12.52  7.27 14.46 
#>    63   158  70.2    93     5  39.2  24.1 192.1   169   140    85   164    14 
#> 22.77 20.14  7.38 10.33 16.43 15.59 23.89 16.44 22.41 12.68 16.44 23.60 12.89 
#>    41   117    58 140.1 139.1    23  58.1   159 133.1    96   145  99.1    51 
#> 18.02 17.46 19.34 12.68 21.49 16.92 19.34 10.55 14.65 14.54 10.07 21.19 18.23 
#>  58.2    90  88.1  77.2  13.1   113 153.1  90.1 133.2 194.1  39.3   187 179.2 
#> 19.34 20.94 18.37  7.27 14.34 22.86 21.33 20.94 14.65 22.40 15.59  9.92 18.63 
#> 113.1    60  32.1    69   155 187.1    18    49 127.1 113.2  18.1   174    83 
#> 22.86 13.15 20.90 23.23 13.08  9.92 15.21 12.19  3.53 22.86 15.21 24.00 24.00 
#>    98    44    20   103   146   151    35   135   178  83.1    21   163    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   162 135.1   142    94   121 178.1 146.1     3   122   182 135.2 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    80   141   193   104    47 103.1  44.1  21.1    22 141.1   137    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.2    65   144    46    33   156    87    34 118.1   196   152    19   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12 121.1   120  17.1   132 151.1 135.3  95.1  87.1  94.1  35.1  22.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.2 172.1   119    11     7   143   148 121.2  47.1 118.2   200    75 135.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   161  87.3 178.2 143.1 143.2  87.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01307040                0.06103614                0.08635746 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.80454871              0.01467708              0.19572147 
#>   grade_iii, Cure model 
#>              0.70037923 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 16     8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 188   16.16      1  46        0         1
#> 134   17.81      1  47        1         0
#> 139   21.49      1  63        1         0
#> 166   19.98      1  48        0         0
#> 183    9.24      1  67        1         0
#> 57    14.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 129   23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 50    10.02      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 157   15.10      1  47        0         0
#> 66    22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 164   23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 40.1  18.00      1  28        1         0
#> 79.1  16.23      1  54        1         0
#> 168.1 23.72      1  70        0         0
#> 60    13.15      1  38        1         0
#> 177   12.53      1  75        0         0
#> 32    20.90      1  37        1         0
#> 57.1  14.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 159   10.55      1  50        0         1
#> 155   13.08      1  26        0         0
#> 16.1   8.71      1  71        0         1
#> 177.1 12.53      1  75        0         0
#> 168.2 23.72      1  70        0         0
#> 81    14.06      1  34        0         0
#> 14    12.89      1  21        0         0
#> 42    12.43      1  49        0         1
#> 97    19.14      1  65        0         1
#> 79.2  16.23      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 40.2  18.00      1  28        1         0
#> 139.1 21.49      1  63        1         0
#> 180   14.82      1  37        0         0
#> 69    23.23      1  25        0         1
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 197   21.60      1  69        1         0
#> 97.1  19.14      1  65        0         1
#> 45    17.42      1  54        0         1
#> 171   16.57      1  41        0         1
#> 153   21.33      1  55        1         0
#> 96.1  14.54      1  33        0         1
#> 37    12.52      1  57        1         0
#> 45.1  17.42      1  54        0         1
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 189   10.51      1  NA        1         0
#> 16.2   8.71      1  71        0         1
#> 100   16.07      1  60        0         0
#> 86.1  23.81      1  58        0         1
#> 111.1 17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 129.1 23.41      1  53        1         0
#> 10    10.53      1  34        0         0
#> 93    10.33      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 30    17.43      1  78        0         0
#> 69.1  23.23      1  25        0         1
#> 166.1 19.98      1  48        0         0
#> 159.1 10.55      1  50        0         1
#> 97.2  19.14      1  65        0         1
#> 136.1 21.83      1  43        0         1
#> 32.1  20.90      1  37        1         0
#> 181   16.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 70     7.38      1  30        1         0
#> 159.2 10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 110   17.56      1  65        0         1
#> 70.1   7.38      1  30        1         0
#> 108   18.29      1  39        0         1
#> 124    9.73      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 10.1  10.53      1  34        0         0
#> 106   16.67      1  49        1         0
#> 166.2 19.98      1  48        0         0
#> 55    19.34      1  69        0         1
#> 43    12.10      1  61        0         1
#> 8.1   18.43      1  32        0         0
#> 37.1  12.52      1  57        1         0
#> 96.2  14.54      1  33        0         1
#> 78    23.88      1  43        0         0
#> 124.1  9.73      1  NA        1         0
#> 111.2 17.45      1  47        0         1
#> 150   20.33      1  48        0         0
#> 187    9.92      1  39        1         0
#> 40.3  18.00      1  28        1         0
#> 180.1 14.82      1  37        0         0
#> 6.2   15.64      1  39        0         0
#> 164.1 23.60      1  76        0         1
#> 23    16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 124.2  9.73      1  NA        1         0
#> 124.3  9.73      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 184   17.77      1  38        0         0
#> 39    15.59      1  37        0         1
#> 52    10.42      1  52        0         1
#> 136.2 21.83      1  43        0         1
#> 36    21.19      1  48        0         1
#> 56    12.21      1  60        0         0
#> 187.1  9.92      1  39        1         0
#> 162   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 138   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 191.1 24.00      0  60        0         1
#> 2.1   24.00      0   9        0         0
#> 67    24.00      0  25        0         0
#> 151   24.00      0  42        0         0
#> 191.2 24.00      0  60        0         1
#> 119   24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 132   24.00      0  55        0         0
#> 185.1 24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 46.1  24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 47.1  24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 144.1 24.00      0  28        0         1
#> 2.2   24.00      0   9        0         0
#> 72    24.00      0  40        0         1
#> 161.1 24.00      0  45        0         0
#> 147   24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 138.1 24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 141.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 38    24.00      0  31        1         0
#> 191.3 24.00      0  60        0         1
#> 141.2 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 121.1 24.00      0  57        1         0
#> 147.1 24.00      0  76        1         0
#> 35.1  24.00      0  51        0         0
#> 191.4 24.00      0  60        0         1
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 98    24.00      0  34        1         0
#> 65    24.00      0  57        1         0
#> 67.1  24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 83    24.00      0   6        0         0
#> 95    24.00      0  68        0         1
#> 71.1  24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 80    24.00      0  41        0         0
#> 67.2  24.00      0  25        0         0
#> 193   24.00      0  45        0         1
#> 87.1  24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 62.1  24.00      0  71        0         0
#> 38.1  24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 182   24.00      0  35        0         0
#> 94    24.00      0  51        0         1
#> 1     24.00      0  23        1         0
#> 27    24.00      0  63        1         0
#> 196   24.00      0  19        0         0
#> 48    24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.805         NA        NA      NA
#> 2 age, Cure model           0.0147        NA        NA      NA
#> 3 grade_ii, Cure model      0.196         NA        NA      NA
#> 4 grade_iii, Cure model     0.700         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0131        NA        NA      NA
#> 2 grade_ii, Survival model    0.0610        NA        NA      NA
#> 3 grade_iii, Survival model   0.0864        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.80455           0.01468           0.19572           0.70038  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 254.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.80454871       0.01467708       0.19572147       0.70037923 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01307040       0.06103614       0.08635746 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.5362556329 0.9167160049 0.4480446796 0.4238167428 0.2346268374
#>   [6] 0.0505283912 0.1077550235 0.9003874379 0.5754014309 0.3891472856
#>  [11] 0.0106872694 0.0338196442 0.2003119796 0.2628335289 0.4975401859
#>  [16] 0.0298429226 0.1915464511 0.0061326274 0.0020951822 0.2003119796
#>  [21] 0.3891472856 0.0020951822 0.6160000765 0.6577019842 0.0768432674
#>  [26] 0.5754014309 0.1663568999 0.7599295755 0.6298179451 0.9167160049
#>  [31] 0.6577019842 0.0020951822 0.6022908168 0.6437237202 0.7151086648
#>  [36] 0.1429099509 0.3891472856 0.2003119796 0.0505283912 0.5103887323
#>  [41] 0.0164093607 0.1011071382 0.0226130778 0.0458489009 0.1429099509
#>  [46] 0.3019863900 0.3442857282 0.0603851655 0.5362556329 0.6861078767
#>  [51] 0.3019863900 0.0885081032 0.0005963820 0.9167160049 0.4358392081
#>  [56] 0.0005963820 0.2628335289 0.0106872694 0.8054818021 0.8523914910
#>  [61] 0.4480446796 0.2917772688 0.0164093607 0.1077550235 0.7599295755
#>  [66] 0.1429099509 0.0338196442 0.0768432674 0.3664383152 0.1281517165
#>  [71] 0.9663160022 0.7599295755 0.3552835152 0.2532585612 0.9663160022
#>  [76] 0.1829268480 0.0261148363 0.8054818021 0.3334137050 0.1077550235
#>  [81] 0.1281517165 0.7448316936 0.1663568999 0.6861078767 0.5362556329
#>  [86] 0.0001031987 0.2628335289 0.0947099726 0.8683472402 0.2003119796
#>  [91] 0.5103887323 0.4480446796 0.0061326274 0.3226954016 0.3777287413
#>  [96] 0.0603851655 0.2438730389 0.4848421578 0.8365682924 0.0338196442
#> [101] 0.0710861045 0.7298879436 0.8683472402 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    96    16     6   188   134   139   166   183    57    79   129   136    40 
#> 14.54  8.71 15.64 16.16 17.81 21.49 19.98  9.24 14.46 16.23 23.41 21.83 18.00 
#>   111   157    66    41   164   168  40.1  79.1 168.1    60   177    32  57.1 
#> 17.45 15.10 22.13 18.02 23.60 23.72 18.00 16.23 23.72 13.15 12.53 20.90 14.46 
#>     8   159   155  16.1 177.1 168.2    81    14    42    97  79.2  40.2 139.1 
#> 18.43 10.55 13.08  8.71 12.53 23.72 14.06 12.89 12.43 19.14 16.23 18.00 21.49 
#>   180    69   158    63   197  97.1    45   171   153  96.1    37  45.1   190 
#> 14.82 23.23 20.14 22.77 21.60 19.14 17.42 16.57 21.33 14.54 12.52 17.42 20.81 
#>    86  16.2   100  86.1 111.1 129.1    10    93   6.1    30  69.1 166.1 159.1 
#> 23.81  8.71 16.07 23.81 17.45 23.41 10.53 10.33 15.64 17.43 23.23 19.98 10.55 
#>  97.2 136.1  32.1   181    58    70 159.2   130   110  70.1   108   169  10.1 
#> 19.14 21.83 20.90 16.46 19.34  7.38 10.55 16.47 17.56  7.38 18.29 22.41 10.53 
#>   106 166.2    55    43   8.1  37.1  96.2    78 111.2   150   187  40.3 180.1 
#> 16.67 19.98 19.34 12.10 18.43 12.52 14.54 23.88 17.45 20.33  9.92 18.00 14.82 
#>   6.2 164.1    23    85 153.1   184    39    52 136.2    36    56 187.1   162 
#> 15.64 23.60 16.92 16.44 21.33 17.77 15.59 10.42 21.83 21.19 12.21  9.92 24.00 
#>   146    71    22    47   142     2    12    21    74   185    46    19   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   191 191.1   2.1    67   151 191.2   119    62   161    87   116   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1  12.1   121    35   165   144    53  46.1   172   200  47.1   109 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1   2.2    72 161.1   147   176 116.1 138.1   160   112 141.1    34    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.3 141.2   148 121.1 147.1  35.1 191.4   137    75    98    65  67.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1    83    95  71.1   152    80  67.2   193  87.1    54  62.1  38.1 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182    94     1    27   196    48  48.1 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005349074              -0.005801586               0.381608227 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.148183693             0.002358278            -0.028698697 
#>   grade_iii, Cure model 
#>             0.578664931 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 170   19.54      1  43        0         1
#> 63    22.77      1  31        1         0
#> 58    19.34      1  39        0         0
#> 184   17.77      1  38        0         0
#> 127    3.53      1  62        0         1
#> 50    10.02      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 90    20.94      1  50        0         1
#> 26    15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 60    13.15      1  38        1         0
#> 195   11.76      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 150   20.33      1  48        0         0
#> 194   22.40      1  38        0         1
#> 76.1  19.22      1  54        0         1
#> 23    16.92      1  61        0         0
#> 190   20.81      1  42        1         0
#> 61    10.12      1  36        0         1
#> 169   22.41      1  46        0         0
#> 68.1  20.62      1  44        0         0
#> 145   10.07      1  65        1         0
#> 153   21.33      1  55        1         0
#> 188.1 16.16      1  46        0         1
#> 149    8.37      1  33        1         0
#> 57    14.46      1  45        0         1
#> 170.1 19.54      1  43        0         1
#> 76.2  19.22      1  54        0         1
#> 166   19.98      1  48        0         0
#> 63.1  22.77      1  31        1         0
#> 18    15.21      1  49        1         0
#> 136   21.83      1  43        0         1
#> 36    21.19      1  48        0         1
#> 13    14.34      1  54        0         1
#> 76.3  19.22      1  54        0         1
#> 81    14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 79    16.23      1  54        1         0
#> 30    17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 129   23.41      1  53        1         0
#> 124    9.73      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 63.2  22.77      1  31        1         0
#> 169.1 22.41      1  46        0         0
#> 159   10.55      1  50        0         1
#> 153.1 21.33      1  55        1         0
#> 58.1  19.34      1  39        0         0
#> 69    23.23      1  25        0         1
#> 184.1 17.77      1  38        0         0
#> 101    9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 155.1 13.08      1  26        0         0
#> 139   21.49      1  63        1         0
#> 81.1  14.06      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 40    18.00      1  28        1         0
#> 43    12.10      1  61        0         1
#> 108.1 18.29      1  39        0         1
#> 192   16.44      1  31        1         0
#> 39    15.59      1  37        0         1
#> 101.1  9.97      1  10        0         1
#> 45    17.42      1  54        0         1
#> 167   15.55      1  56        1         0
#> 96    14.54      1  33        0         1
#> 76.4  19.22      1  54        0         1
#> 169.2 22.41      1  46        0         0
#> 150.1 20.33      1  48        0         0
#> 4.1   17.64      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 26.1  15.77      1  49        0         1
#> 113   22.86      1  34        0         0
#> 105   19.75      1  60        0         0
#> 32    20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 153.2 21.33      1  55        1         0
#> 125   15.65      1  67        1         0
#> 188.2 16.16      1  46        0         1
#> 124.1  9.73      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 78    23.88      1  43        0         0
#> 129.1 23.41      1  53        1         0
#> 197   21.60      1  69        1         0
#> 61.2  10.12      1  36        0         1
#> 199.1 19.81      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 199.2 19.81      1  NA        0         1
#> 175   21.91      1  43        0         0
#> 25     6.32      1  34        1         0
#> 189.1 10.51      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 81.2  14.06      1  34        0         0
#> 123   13.00      1  44        1         0
#> 24    23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 56    12.21      1  60        0         0
#> 29    15.45      1  68        1         0
#> 190.1 20.81      1  42        1         0
#> 158.1 20.14      1  74        1         0
#> 92    22.92      1  47        0         1
#> 91     5.33      1  61        0         1
#> 160   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 148   24.00      0  61        1         0
#> 142   24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 178.1 24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 75.1  24.00      0  21        1         0
#> 48.1  24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 193   24.00      0  45        0         1
#> 65    24.00      0  57        1         0
#> 160.1 24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 94    24.00      0  51        0         1
#> 185   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 116   24.00      0  58        0         1
#> 33.1  24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 173.1 24.00      0  19        0         1
#> 62    24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 54.1  24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 28.1  24.00      0  67        1         0
#> 182   24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 173.2 24.00      0  19        0         1
#> 172.1 24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 75.2  24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 162   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 173.3 24.00      0  19        0         1
#> 116.1 24.00      0  58        0         1
#> 75.3  24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 109   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 148.1 24.00      0  61        1         0
#> 75.4  24.00      0  21        1         0
#> 115   24.00      0  NA        1         0
#> 176.1 24.00      0  43        0         1
#> 173.4 24.00      0  19        0         1
#> 95    24.00      0  68        0         1
#> 162.1 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 132.1 24.00      0  55        0         0
#> 98    24.00      0  34        1         0
#> 102.1 24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 198   24.00      0  66        0         1
#> 198.1 24.00      0  66        0         1
#> 163   24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 53.1  24.00      0  32        0         1
#> 73.1  24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 12.1  24.00      0  63        0         0
#> 44    24.00      0  56        0         0
#> 165.1 24.00      0  47        0         0
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.148          NA        NA      NA
#> 2 age, Cure model          0.00236        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0287         NA        NA      NA
#> 4 grade_iii, Cure model    0.579          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00535        NA        NA      NA
#> 2 grade_ii, Survival model  -0.00580        NA        NA      NA
#> 3 grade_iii, Survival model  0.382          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.148184          0.002358         -0.028699          0.578665  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 250.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.148183693      0.002358278     -0.028698697      0.578664931 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005349074     -0.005801586      0.381608227 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86982680 0.49575460 0.53507679 0.19168695 0.55391740 0.65711615
#>   [7] 0.99341985 0.63212862 0.38145514 0.75274112 0.61498606 0.57261060
#>  [13] 0.44484305 0.80496402 0.72991300 0.86269017 0.46546701 0.47571983
#>  [19] 0.27222711 0.57261060 0.69807804 0.42396241 0.92619279 0.23291640
#>  [25] 0.44484305 0.94648412 0.33585572 0.72991300 0.96671003 0.82698395
#>  [31] 0.53507679 0.57261060 0.51541060 0.19168695 0.79757868 0.29858368
#>  [37] 0.37002143 0.83423120 0.57261060 0.84141880 0.62357417 0.72200464
#>  [43] 0.68183977 0.08651932 0.10814911 0.89818704 0.19168695 0.23291640
#>  [49] 0.91926034 0.33585572 0.55391740 0.14321494 0.65711615 0.95327688
#>  [55] 0.70611569 0.86982680 0.32362793 0.84141880 0.38145514 0.64876210
#>  [61] 0.91227978 0.63212862 0.71406783 0.77527840 0.95327688 0.69000453
#>  [67] 0.78273795 0.81968147 0.57261060 0.23291640 0.47571983 0.67362408
#>  [73] 0.75274112 0.17621029 0.52527852 0.40282737 0.81233004 0.33585572
#>  [79] 0.76776207 0.72991300 0.92619279 0.05784649 0.10814911 0.31121610
#>  [85] 0.92619279 0.40282737 0.28548399 0.98012208 0.89111091 0.84141880
#>  [91] 0.88400694 0.02557795 0.97344137 0.90524379 0.79017331 0.42396241
#>  [97] 0.49575460 0.16045879 0.98679403 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   155   158   170    63    58   184   127   108    90    26    97    76    68 
#> 13.08 20.14 19.54 22.77 19.34 17.77  3.53 18.29 20.94 15.77 19.14 19.22 20.62 
#>   157   188    60   128   150   194  76.1    23   190    61   169  68.1   145 
#> 15.10 16.16 13.15 20.35 20.33 22.40 19.22 16.92 20.81 10.12 22.41 20.62 10.07 
#>   153 188.1   149    57 170.1  76.2   166  63.1    18   136    36    13  76.3 
#> 21.33 16.16  8.37 14.46 19.54 19.22 19.98 22.77 15.21 21.83 21.19 14.34 19.22 
#>    81    88    79    30    86   129    37  63.2 169.1   159 153.1  58.1    69 
#> 14.06 18.37 16.23 17.43 23.81 23.41 12.52 22.77 22.41 10.55 21.33 19.34 23.23 
#> 184.1   101   130 155.1   139  81.1  90.1    40    43 108.1   192    39 101.1 
#> 17.77  9.97 16.47 13.08 21.49 14.06 20.94 18.00 12.10 18.29 16.44 15.59  9.97 
#>    45   167    96  76.4 169.2 150.1   111  26.1   113   105    32   180 153.2 
#> 17.42 15.55 14.54 19.22 22.41 20.33 17.45 15.77 22.86 19.75 20.90 14.82 21.33 
#>   125 188.2  61.1    78 129.1   197  61.2  32.1   175    25   177  81.2   123 
#> 15.65 16.16 10.12 23.88 23.41 21.60 10.12 20.90 21.91  6.32 12.53 14.06 13.00 
#>    24    77    56    29 190.1 158.1    92    91   160   178    82   148   142 
#> 23.89  7.27 12.21 15.45 20.81 20.14 22.92  5.33 24.00 24.00 24.00 24.00 24.00 
#>   172    33    54   131    35    48    75   173   144    53 178.1   121  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1    34   193    65 160.1    12    94   185    28   116  33.1   102   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   120    19   186   151 173.1    62   161  54.1   132    46  28.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 186.1   176 173.2 172.1     9  75.2   162    22   135 173.3 116.1  75.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   109   200   165 148.1  75.4 176.1 173.4    95 162.1   103 132.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1    80   112   198 198.1   163  47.1  53.1   152   138 193.1  12.1    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  94.1 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01331836                1.28974606                0.36906628 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.57901119             -0.01109750             -0.09775587 
#>   grade_iii, Cure model 
#>              0.45515000 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 154   12.63      1  20        1         0
#> 150   20.33      1  48        0         0
#> 32    20.90      1  37        1         0
#> 149    8.37      1  33        1         0
#> 97    19.14      1  65        0         1
#> 37    12.52      1  57        1         0
#> 45    17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 155   13.08      1  26        0         0
#> 81    14.06      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 79    16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 97.1  19.14      1  65        0         1
#> 40    18.00      1  28        1         0
#> 136   21.83      1  43        0         1
#> 149.1  8.37      1  33        1         0
#> 14    12.89      1  21        0         0
#> 184   17.77      1  38        0         0
#> 8     18.43      1  32        0         0
#> 49    12.19      1  48        1         0
#> 8.1   18.43      1  32        0         0
#> 171   16.57      1  41        0         1
#> 86.1  23.81      1  58        0         1
#> 113   22.86      1  34        0         0
#> 5     16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 69    23.23      1  25        0         1
#> 37.1  12.52      1  57        1         0
#> 97.2  19.14      1  65        0         1
#> 169   22.41      1  46        0         0
#> 56    12.21      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 136.1 21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 37.2  12.52      1  57        1         0
#> 184.1 17.77      1  38        0         0
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 55.1  19.34      1  69        0         1
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 59    10.16      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 139   21.49      1  63        1         0
#> 76    19.22      1  54        0         1
#> 60    13.15      1  38        1         0
#> 128   20.35      1  35        0         1
#> 105   19.75      1  60        0         0
#> 192   16.44      1  31        1         0
#> 40.1  18.00      1  28        1         0
#> 49.1  12.19      1  48        1         0
#> 100   16.07      1  60        0         0
#> 187    9.92      1  39        1         0
#> 59.1  10.16      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 24.1  23.89      1  38        0         0
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 167   15.55      1  56        1         0
#> 113.1 22.86      1  34        0         0
#> 114.1 13.68      1  NA        0         0
#> 164   23.60      1  76        0         1
#> 15    22.68      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 55.2  19.34      1  69        0         1
#> 194   22.40      1  38        0         1
#> 183    9.24      1  67        1         0
#> 70     7.38      1  30        1         0
#> 79.1  16.23      1  54        1         0
#> 125   15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 99    21.19      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 114.2 13.68      1  NA        0         0
#> 167.1 15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 155.1 13.08      1  26        0         0
#> 150.2 20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 37.3  12.52      1  57        1         0
#> 199   19.81      1  NA        0         1
#> 139.1 21.49      1  63        1         0
#> 153   21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 88    18.37      1  47        0         0
#> 25     6.32      1  34        1         0
#> 171.1 16.57      1  41        0         1
#> 88.1  18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 184.2 17.77      1  38        0         0
#> 24.2  23.89      1  38        0         0
#> 158   20.14      1  74        1         0
#> 57    14.46      1  45        0         1
#> 155.2 13.08      1  26        0         0
#> 140   12.68      1  59        1         0
#> 149.2  8.37      1  33        1         0
#> 42    12.43      1  49        0         1
#> 111   17.45      1  47        0         1
#> 159.1 10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 155.3 13.08      1  26        0         0
#> 170   19.54      1  43        0         1
#> 66.1  22.13      1  53        0         0
#> 147   24.00      0  76        1         0
#> 156   24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 160   24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 72    24.00      0  40        0         1
#> 160.1 24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 102   24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 143   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 132   24.00      0  55        0         0
#> 75    24.00      0  21        1         0
#> 198   24.00      0  66        0         1
#> 151   24.00      0  42        0         0
#> 186   24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 116   24.00      0  58        0         1
#> 94    24.00      0  51        0         1
#> 102.1 24.00      0  49        0         0
#> 109.1 24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 151.1 24.00      0  42        0         0
#> 198.1 24.00      0  66        0         1
#> 22.1  24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 95.1  24.00      0  68        0         1
#> 176.1 24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 144   24.00      0  28        0         1
#> 112   24.00      0  61        0         0
#> 173   24.00      0  19        0         1
#> 54.1  24.00      0  53        1         0
#> 132.1 24.00      0  55        0         0
#> 132.2 24.00      0  55        0         0
#> 72.1  24.00      0  40        0         1
#> 122.1 24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 20.1  24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 132.3 24.00      0  55        0         0
#> 72.2  24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 178.1 24.00      0  52        1         0
#> 54.2  24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 148.1 24.00      0  61        1         0
#> 112.1 24.00      0  61        0         0
#> 186.1 24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 161.1 24.00      0  45        0         0
#> 19.1  24.00      0  57        0         1
#> 137   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 38.1  24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 148.2 24.00      0  61        1         0
#> 33    24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 156.3 24.00      0  50        1         0
#> 38.2  24.00      0  31        1         0
#> 116.2 24.00      0  58        0         1
#> 121   24.00      0  57        1         0
#> 162.1 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 12    24.00      0  63        0         0
#> 75.2  24.00      0  21        1         0
#> 12.1  24.00      0  63        0         0
#> 161.2 24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.579         NA        NA      NA
#> 2 age, Cure model          -0.0111        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0978        NA        NA      NA
#> 4 grade_iii, Cure model     0.455         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0133        NA        NA      NA
#> 2 grade_ii, Survival model    1.29          NA        NA      NA
#> 3 grade_iii, Survival model   0.369         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.57901          -0.01110          -0.09776           0.45515  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 256.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.57901119      -0.01109750      -0.09775587       0.45515000 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01331836       1.28974606       0.36906628 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.903512619 0.783202197 0.204967586 0.186516145 0.953375893 0.313433715
#>   [7] 0.803963816 0.514318041 0.009768388 0.706292875 0.673003998 0.783202197
#>  [13] 0.584277495 0.913552861 0.313433715 0.414292393 0.116907824 0.953375893
#>  [19] 0.761154121 0.435841574 0.345581447 0.863810958 0.345581447 0.537726613
#>  [25] 0.009768388 0.038088085 0.572701278 0.468719455 0.031307243 0.803963816
#>  [31] 0.313433715 0.060260981 0.853642064 0.673003998 0.086670275 0.116907824
#>  [37] 0.502763394 0.262726596 0.803963816 0.435841574 0.001859571 0.018451727
#>  [43] 0.262726596 0.525949891 0.390758639 0.650851289 0.138036313 0.302773472
#>  [49] 0.695277197 0.195721713 0.242873765 0.561187134 0.414292393 0.863810958
#>  [55] 0.606529205 0.933627424 0.204967586 0.001859571 0.883604510 0.176721627
#>  [61] 0.629119270 0.038088085 0.024478168 0.052130889 0.262726596 0.077415772
#>  [67] 0.943526870 0.981464262 0.584277495 0.617874610 0.262726596 0.167064679
#>  [73] 0.060260981 0.629119270 0.402435864 0.706292875 0.204967586 0.750117708
#>  [79] 0.803963816 0.138036313 0.157478820 0.106197231 0.367847313 0.990788879
#>  [85] 0.537726613 0.367847313 0.480051713 0.435841574 0.001859571 0.233200074
#>  [91] 0.661908581 0.706292875 0.772229717 0.953375893 0.843539393 0.491377822
#>  [97] 0.883604510 0.923604651 0.706292875 0.252764252 0.086670275 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    52   154   150    32   149    97    37    45    86   155    81 154.1    79 
#> 10.42 12.63 20.33 20.90  8.37 19.14 12.52 17.42 23.81 13.08 14.06 12.63 16.23 
#>    61  97.1    40   136 149.1    14   184     8    49   8.1   171  86.1   113 
#> 10.12 19.14 18.00 21.83  8.37 12.89 17.77 18.43 12.19 18.43 16.57 23.81 22.86 
#>     5   110    69  37.1  97.2   169    56  81.1    66 136.1    30    55  37.2 
#> 16.43 17.56 23.23 12.52 19.14 22.41 12.21 14.06 22.13 21.83 17.43 19.34 12.52 
#> 184.1    24   168  55.1    23   108   133   139    76    60   128   105   192 
#> 17.77 23.89 23.72 19.34 16.92 18.29 14.65 21.49 19.22 13.15 20.35 19.75 16.44 
#>  40.1  49.1   100   187 150.1  24.1   159    90   167 113.1   164    15  55.2 
#> 18.00 12.19 16.07  9.92 20.33 23.89 10.55 20.94 15.55 22.86 23.60 22.68 19.34 
#>   194   183    70  79.1   125    58    99 169.1 167.1    51 155.1 150.2   123 
#> 22.40  9.24  7.38 16.23 15.65 19.34 21.19 22.41 15.55 18.23 13.08 20.33 13.00 
#>  37.3 139.1   153   175    88    25 171.1  88.1   117 184.2  24.2   158    57 
#> 12.52 21.49 21.33 21.91 18.37  6.32 16.57 18.37 17.46 17.77 23.89 20.14 14.46 
#> 155.2   140 149.2    42   111 159.1   101 155.3   170  66.1   147   156    87 
#> 13.08 12.68  8.37 12.43 17.45 10.55  9.97 13.08 19.54 22.13 24.00 24.00 24.00 
#>   162    11   163    84   161   160 156.1    72 160.1   109   131    20   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   148   176   143    22   132    75   198   151   186   122   116    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1 109.1 163.1    31   200 151.1 198.1  22.1    95  95.1 176.1    21    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   112   173  54.1 132.1 132.2  72.1 122.1    38 156.2   178  20.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138 116.1 132.3  72.2    19 178.1  54.2   185 148.1 112.1 186.1     2 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   137   165    67  38.1    65 148.2    33    74 156.3  38.2 116.2   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1   119    12  75.2  12.1 161.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004150864               0.476562120               0.502013773 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91992738              0.01961530             -0.02878136 
#>   grade_iii, Cure model 
#>              0.60886571 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 57    14.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 164   23.60      1  76        0         1
#> 175   21.91      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 113   22.86      1  34        0         0
#> 70     7.38      1  30        1         0
#> 99    21.19      1  38        0         1
#> 140   12.68      1  59        1         0
#> 150.1 20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 123.1 13.00      1  44        1         0
#> 197   21.60      1  69        1         0
#> 16     8.71      1  71        0         1
#> 30    17.43      1  78        0         0
#> 177   12.53      1  75        0         0
#> 42    12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 129   23.41      1  53        1         0
#> 188   16.16      1  46        0         1
#> 10    10.53      1  34        0         0
#> 26    15.77      1  49        0         1
#> 134   17.81      1  47        1         0
#> 26.1  15.77      1  49        0         1
#> 45    17.42      1  54        0         1
#> 14    12.89      1  21        0         0
#> 189   10.51      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 8     18.43      1  32        0         0
#> 18    15.21      1  49        1         0
#> 4.1   17.64      1  NA        0         1
#> 18.1  15.21      1  49        1         0
#> 192   16.44      1  31        1         0
#> 129.1 23.41      1  53        1         0
#> 110   17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 123.2 13.00      1  44        1         0
#> 52    10.42      1  52        0         1
#> 92    22.92      1  47        0         1
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 105.1 19.75      1  60        0         0
#> 183    9.24      1  67        1         0
#> 43    12.10      1  61        0         1
#> 58    19.34      1  39        0         0
#> 26.2  15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 10.1  10.53      1  34        0         0
#> 41    18.02      1  40        1         0
#> 99.1  21.19      1  38        0         1
#> 110.1 17.56      1  65        0         1
#> 66    22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 139   21.49      1  63        1         0
#> 79    16.23      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 110.2 17.56      1  65        0         1
#> 30.1  17.43      1  78        0         0
#> 169   22.41      1  46        0         0
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 110.3 17.56      1  65        0         1
#> 99.2  21.19      1  38        0         1
#> 63    22.77      1  31        1         0
#> 15    22.68      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 60    13.15      1  38        1         0
#> 76    19.22      1  54        0         1
#> 90    20.94      1  50        0         1
#> 149    8.37      1  33        1         0
#> 68.1  20.62      1  44        0         0
#> 197.1 21.60      1  69        1         0
#> 79.1  16.23      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 197.2 21.60      1  69        1         0
#> 134.1 17.81      1  47        1         0
#> 43.1  12.10      1  61        0         1
#> 32.1  20.90      1  37        1         0
#> 77     7.27      1  67        0         1
#> 85.1  16.44      1  36        0         0
#> 158   20.14      1  74        1         0
#> 129.2 23.41      1  53        1         0
#> 5.1   16.43      1  51        0         1
#> 128.1 20.35      1  35        0         1
#> 188.2 16.16      1  46        0         1
#> 181   16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 169.1 22.41      1  46        0         0
#> 86    23.81      1  58        0         1
#> 157   15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 18.2  15.21      1  49        1         0
#> 195   11.76      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 157.1 15.10      1  47        0         0
#> 39    15.59      1  37        0         1
#> 36    21.19      1  48        0         1
#> 13    14.34      1  54        0         1
#> 168   23.72      1  70        0         0
#> 125   15.65      1  67        1         0
#> 29    15.45      1  68        1         0
#> 124.1  9.73      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 125.1 15.65      1  67        1         0
#> 48    24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 156   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 94.1  24.00      0  51        0         1
#> 162.1 24.00      0  51        0         0
#> 94.2  24.00      0  51        0         1
#> 19    24.00      0  57        0         1
#> 172   24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 9     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 120   24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 120.1 24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 185   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 162.2 24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 198   24.00      0  66        0         1
#> 2.1   24.00      0   9        0         0
#> 33    24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 135.1 24.00      0  58        1         0
#> 151   24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 186.1 24.00      0  45        1         0
#> 72.1  24.00      0  40        0         1
#> 137   24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 12.1  24.00      0  63        0         0
#> 22.1  24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 12.2  24.00      0  63        0         0
#> 28    24.00      0  67        1         0
#> 137.1 24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 33.1  24.00      0  53        0         0
#> 2.2   24.00      0   9        0         0
#> 172.1 24.00      0  41        0         0
#> 34    24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 148.1 24.00      0  61        1         0
#> 174   24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 27    24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 186.2 24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 119.1 24.00      0  17        0         0
#> 193   24.00      0  45        0         1
#> 200   24.00      0  64        0         0
#> 115.1 24.00      0  NA        1         0
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 151.1 24.00      0  42        0         0
#> 3     24.00      0  31        1         0
#> 163.1 24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 21    24.00      0  47        0         0
#> 94.3  24.00      0  51        0         1
#> 19.1  24.00      0  57        0         1
#> 152   24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 98.1  24.00      0  34        1         0
#> 152.1 24.00      0  36        0         1
#> 115.2 24.00      0  NA        1         0
#> 72.2  24.00      0  40        0         1
#> 173   24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.920         NA        NA      NA
#> 2 age, Cure model           0.0196        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0288        NA        NA      NA
#> 4 grade_iii, Cure model     0.609         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00415        NA        NA      NA
#> 2 grade_ii, Survival model   0.477          NA        NA      NA
#> 3 grade_iii, Survival model  0.502          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91993           0.01962          -0.02878           0.60887  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 251.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91992738       0.01961530      -0.02878136       0.60886571 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004150864      0.476562120      0.502013773 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.781124505 0.374928878 0.772373692 0.065582061 0.201837863 0.815646160
#>   [7] 0.135437071 0.975356003 0.267341483 0.849467514 0.374928878 0.891811298
#>  [13] 0.815646160 0.224367687 0.958798072 0.538496122 0.857970505 0.866496101
#>  [19] 0.316514333 0.112820476 0.080289988 0.640687179 0.908637277 0.667489492
#>  [25] 0.482645238 0.667489492 0.557378785 0.840942277 0.404123291 0.463026696
#>  [31] 0.729192345 0.729192345 0.576262220 0.080289988 0.501743110 0.006164551
#>  [37] 0.815646160 0.925399299 0.124313009 0.603979847 0.942162392 0.404123291
#>  [43] 0.950488221 0.874992605 0.423658844 0.667489492 0.355697635 0.908637277
#>  [49] 0.472873010 0.267341483 0.501743110 0.190454869 0.336010507 0.256326858
#>  [55] 0.622411186 0.201837863 0.900237747 0.501743110 0.538496122 0.168619296
#>  [61] 0.019879095 0.576262220 0.501743110 0.267341483 0.146683169 0.157582155
#>  [67] 0.640687179 0.807033211 0.443330106 0.306369531 0.967091367 0.336010507
#>  [73] 0.224367687 0.622411186 0.423658844 0.224367687 0.482645238 0.874992605
#>  [79] 0.316514333 0.983591196 0.576262220 0.394340167 0.080289988 0.603979847
#>  [85] 0.355697635 0.640687179 0.566849638 0.781124505 0.168619296 0.035915545
#>  [91] 0.754999078 0.453206364 0.729192345 0.933793307 0.754999078 0.711559614
#>  [97] 0.267341483 0.798385606 0.050184680 0.693922631 0.720387549 0.991809122
#> [103] 0.693922631 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    57   150   180   164   175   123   113    70    99   140 150.1   107 123.1 
#> 14.46 20.33 14.82 23.60 21.91 13.00 22.86  7.38 21.19 12.68 20.33 11.18 13.00 
#>   197    16    30   177    42    32    69   129   188    10    26   134  26.1 
#> 21.60  8.71 17.43 12.53 12.43 20.90 23.23 23.41 16.16 10.53 15.77 17.81 15.77 
#>    45    14   105     8    18  18.1   192 129.1   110    24 123.2    52    92 
#> 17.42 12.89 19.75 18.43 15.21 15.21 16.44 23.41 17.56 23.89 13.00 10.42 22.92 
#>     5   101 105.1   183    43    58  26.2   128  10.1    41  99.1 110.1    66 
#> 16.43  9.97 19.75  9.24 12.10 19.34 15.77 20.35 10.53 18.02 21.19 17.56 22.13 
#>    68   139    79 175.1   159 110.2  30.1   169    78    85 110.3  99.2    63 
#> 20.62 21.49 16.23 21.91 10.55 17.56 17.43 22.41 23.88 16.44 17.56 21.19 22.77 
#>    15 188.1    60    76    90   149  68.1 197.1  79.1  58.1 197.2 134.1  43.1 
#> 22.68 16.16 13.15 19.22 20.94  8.37 20.62 21.60 16.23 19.34 21.60 17.81 12.10 
#>  32.1    77  85.1   158 129.2   5.1 128.1 188.2   181  57.1 169.1    86   157 
#> 20.90  7.27 16.44 20.14 23.41 16.43 20.35 16.16 16.46 14.46 22.41 23.81 15.10 
#>    97  18.2    93 157.1    39    36    13   168   125    29    25 125.1    48 
#> 19.14 15.21 10.33 15.10 15.59 21.19 14.34 23.72 15.65 15.45  6.32 15.65 24.00 
#>  48.1   162    94   148   156   135  94.1 162.1  94.2    19   172    98     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   143    84  84.1   120    12 120.1    67   185   138   186    72 162.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   198   2.1    33   103 135.1   151   161    80 186.1  72.1   137    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    65 103.1  12.1  22.1   119  12.2    28 137.1 198.1  33.1   2.2 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   131 148.1   174   144    27     1 186.2   9.1   142 119.1   193   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   163 138.1   121 151.1     3 163.1 193.1    21  94.3  19.1   152    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1  98.1 152.1  72.2   173   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003246912               0.358462944               0.392066443 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.9171835               0.0143704               0.3323578 
#>   grade_iii, Cure model 
#>               0.9342222 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 199   19.81      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 101    9.97      1  10        0         1
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 24    23.89      1  38        0         0
#> 90    20.94      1  50        0         1
#> 69    23.23      1  25        0         1
#> 139   21.49      1  63        1         0
#> 99    21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 194   22.40      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 100   16.07      1  60        0         0
#> 99.1  21.19      1  38        0         1
#> 91     5.33      1  61        0         1
#> 61    10.12      1  36        0         1
#> 108.1 18.29      1  39        0         1
#> 139.1 21.49      1  63        1         0
#> 171   16.57      1  41        0         1
#> 170   19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 187    9.92      1  39        1         0
#> 113   22.86      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 40    18.00      1  28        1         0
#> 99.2  21.19      1  38        0         1
#> 187.1  9.92      1  39        1         0
#> 43    12.10      1  61        0         1
#> 159   10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 29    15.45      1  68        1         0
#> 159.1 10.55      1  50        0         1
#> 195   11.76      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 129   23.41      1  53        1         0
#> 14    12.89      1  21        0         0
#> 157   15.10      1  47        0         0
#> 15    22.68      1  48        0         0
#> 30    17.43      1  78        0         0
#> 145   10.07      1  65        1         0
#> 60    13.15      1  38        1         0
#> 100.1 16.07      1  60        0         0
#> 195.1 11.76      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 50    10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 24.1  23.89      1  38        0         0
#> 155   13.08      1  26        0         0
#> 168   23.72      1  70        0         0
#> 195.2 11.76      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 56    12.21      1  60        0         0
#> 76    19.22      1  54        0         1
#> 164   23.60      1  76        0         1
#> 6     15.64      1  39        0         0
#> 188.1 16.16      1  46        0         1
#> 158.1 20.14      1  74        1         0
#> 86    23.81      1  58        0         1
#> 18    15.21      1  49        1         0
#> 158.2 20.14      1  74        1         0
#> 36    21.19      1  48        0         1
#> 100.2 16.07      1  60        0         0
#> 96    14.54      1  33        0         1
#> 79.1  16.23      1  54        1         0
#> 57    14.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 158.3 20.14      1  74        1         0
#> 187.2  9.92      1  39        1         0
#> 90.2  20.94      1  50        0         1
#> 190   20.81      1  42        1         0
#> 55    19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 36.1  21.19      1  48        0         1
#> 16     8.71      1  71        0         1
#> 184   17.77      1  38        0         0
#> 129.1 23.41      1  53        1         0
#> 60.1  13.15      1  38        1         0
#> 36.2  21.19      1  48        0         1
#> 70     7.38      1  30        1         0
#> 30.1  17.43      1  78        0         0
#> 14.1  12.89      1  21        0         0
#> 127.1  3.53      1  62        0         1
#> 26    15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 139.2 21.49      1  63        1         0
#> 181.1 16.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 145.1 10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 183.1  9.24      1  67        1         0
#> 43.1  12.10      1  61        0         1
#> 180   14.82      1  37        0         0
#> 16.1   8.71      1  71        0         1
#> 78    23.88      1  43        0         0
#> 13    14.34      1  54        0         1
#> 106.1 16.67      1  49        1         0
#> 181.2 16.46      1  45        0         1
#> 171.1 16.57      1  41        0         1
#> 190.1 20.81      1  42        1         0
#> 170.1 19.54      1  43        0         1
#> 92    22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 77.1   7.27      1  67        0         1
#> 108.2 18.29      1  39        0         1
#> 13.1  14.34      1  54        0         1
#> 62    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 64    24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 116.1 24.00      0  58        0         1
#> 103   24.00      0  56        1         0
#> 83    24.00      0   6        0         0
#> 141   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 83.1  24.00      0   6        0         0
#> 120   24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 176   24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 146.1 24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 83.2  24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 62.1  24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 95    24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 122   24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 191.1 24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 74.1  24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 165.1 24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 38    24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 115.1 24.00      0  NA        1         0
#> 31.1  24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 104.1 24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 152.1 24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 109.2 24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 62.2  24.00      0  71        0         0
#> 116.2 24.00      0  58        0         1
#> 65.1  24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 191.2 24.00      0  60        0         1
#> 71.1  24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 191.3 24.00      0  60        0         1
#> 9.1   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 65.2  24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 163   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 73.2  24.00      0  NA        0         1
#> 151.1 24.00      0  42        0         0
#> 1     24.00      0  23        1         0
#> 47.1  24.00      0  38        0         1
#> 2.1   24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 103.2 24.00      0  56        1         0
#> 121   24.00      0  57        1         0
#> 115.2 24.00      0  NA        1         0
#> 54    24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.917         NA        NA      NA
#> 2 age, Cure model           0.0144        NA        NA      NA
#> 3 grade_ii, Cure model      0.332         NA        NA      NA
#> 4 grade_iii, Cure model     0.934         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00325        NA        NA      NA
#> 2 grade_ii, Survival model   0.358          NA        NA      NA
#> 3 grade_iii, Survival model  0.392          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91718           0.01437           0.33236           0.93422  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    256.4 
#> Residual Deviance: 247 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.9171835        0.0143704        0.3323578        0.9342222 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003246912      0.358462944      0.392066443 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.45405696 0.91452787 0.65375045 0.51636236 0.70516017 0.03385524
#>   [7] 0.39501711 0.20775280 0.29792456 0.33452926 0.69072089 0.28382101
#>  [13] 0.55899889 0.71939012 0.33452926 0.98214569 0.88905318 0.55899889
#>  [19] 0.29792456 0.63851050 0.49874331 0.59926144 0.92086084 0.23926191
#>  [25] 0.88905318 0.54231717 0.54231717 0.58310601 0.33452926 0.92086084
#>  [31] 0.86305035 0.87612323 0.84975403 0.75459258 0.87612323 0.48962657
#>  [37] 0.17523234 0.83647014 0.76853531 0.26922871 0.60725398 0.90185954
#>  [43] 0.81648636 0.71939012 0.93949108 0.98814804 0.62301510 0.03385524
#>  [49] 0.82979411 0.13313977 0.39501711 0.85640774 0.53368980 0.15545136
#>  [55] 0.74754836 0.70516017 0.45405696 0.10984410 0.76158557 0.45405696
#>  [61] 0.33452926 0.71939012 0.78932517 0.69072089 0.79620513 0.78240616
#>  [67] 0.45405696 0.92086084 0.39501711 0.42476166 0.51636236 0.67592718
#>  [73] 0.33452926 0.95182523 0.59119097 0.17523234 0.81648636 0.33452926
#>  [79] 0.96402286 0.60725398 0.83647014 0.98814804 0.74049517 0.44424135
#>  [85] 0.29792456 0.65375045 0.97011875 0.90185954 0.68335392 0.93949108
#>  [91] 0.86305035 0.77547469 0.95182523 0.08194261 0.80304298 0.62301510
#>  [97] 0.65375045 0.63851050 0.42476166 0.49874331 0.22390801 0.25450203
#> [103] 0.97011875 0.55899889 0.80304298 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   158   101   181    58   188    24    90    69   139    99    79   194   108 
#> 20.14  9.97 16.46 19.34 16.16 23.89 20.94 23.23 21.49 21.19 16.23 22.40 18.29 
#>   100  99.1    91    61 108.1 139.1   171   170   111   187   113  61.1    97 
#> 16.07 21.19  5.33 10.12 18.29 21.49 16.57 19.54 17.45  9.92 22.86 10.12 19.14 
#>  97.1    40  99.2 187.1    43   159   177    29 159.1   166   129    14   157 
#> 19.14 18.00 21.19  9.92 12.10 10.55 12.53 15.45 10.55 19.98 23.41 12.89 15.10 
#>    15    30   145    60 100.1   183   127   106  24.1   155   168  90.1    56 
#> 22.68 17.43 10.07 13.15 16.07  9.24  3.53 16.67 23.89 13.08 23.72 20.94 12.21 
#>    76   164     6 188.1 158.1    86    18 158.2    36 100.2    96  79.1    57 
#> 19.22 23.60 15.64 16.16 20.14 23.81 15.21 20.14 21.19 16.07 14.54 16.23 14.46 
#>   133 158.3 187.2  90.2   190    55   192  36.1    16   184 129.1  60.1  36.2 
#> 14.65 20.14  9.92 20.94 20.81 19.34 16.44 21.19  8.71 17.77 23.41 13.15 21.19 
#>    70  30.1  14.1 127.1    26    68 139.2 181.1    77 145.1     5 183.1  43.1 
#>  7.38 17.43 12.89  3.53 15.77 20.62 21.49 16.46  7.27 10.07 16.43  9.24 12.10 
#>   180  16.1    78    13 106.1 181.2 171.1 190.1 170.1    92    63  77.1 108.2 
#> 14.82  8.71 23.88 14.34 16.67 16.46 16.57 20.81 19.54 22.92 22.77  7.27 18.29 
#>  13.1    62   137   116    48   191    64    21 116.1   103    83   141    47 
#> 14.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  83.1   120   152    67    71   200    72   176    94   160   146 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112  83.2    20  62.1     2   109    74    95 103.1   122 109.1    27 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    65  74.1 165.1   131   104    38 141.1    31  31.1   196 104.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1   198 109.2     9    84  84.1  62.2 116.2  65.1   118   147 191.2  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   151 191.3   9.1    80   143  65.2    82   163   132 151.1     1  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1    53 103.2   121    54 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009375271               0.727144506               0.375336048 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.44495892              0.02160909              0.67466467 
#>   grade_iii, Cure model 
#>              1.18488618 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 139   21.49      1  63        1         0
#> 199   19.81      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 10    10.53      1  34        0         0
#> 197   21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 56    12.21      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 100   16.07      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 26    15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 124    9.73      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 76    19.22      1  54        0         1
#> 187    9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 92    22.92      1  47        0         1
#> 24    23.89      1  38        0         0
#> 39    15.59      1  37        0         1
#> 77     7.27      1  67        0         1
#> 43    12.10      1  61        0         1
#> 192   16.44      1  31        1         0
#> 10.1  10.53      1  34        0         0
#> 134   17.81      1  47        1         0
#> 24.1  23.89      1  38        0         0
#> 199.1 19.81      1  NA        0         1
#> 145.1 10.07      1  65        1         0
#> 195   11.76      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 167   15.55      1  56        1         0
#> 15    22.68      1  48        0         0
#> 128   20.35      1  35        0         1
#> 106   16.67      1  49        1         0
#> 86    23.81      1  58        0         1
#> 16     8.71      1  71        0         1
#> 69    23.23      1  25        0         1
#> 63    22.77      1  31        1         0
#> 66    22.13      1  53        0         0
#> 70     7.38      1  30        1         0
#> 197.1 21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 101    9.97      1  10        0         1
#> 150   20.33      1  48        0         0
#> 110   17.56      1  65        0         1
#> 77.1   7.27      1  67        0         1
#> 100.1 16.07      1  60        0         0
#> 181   16.46      1  45        0         1
#> 101.1  9.97      1  10        0         1
#> 187.1  9.92      1  39        1         0
#> 145.2 10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 106.1 16.67      1  49        1         0
#> 125   15.65      1  67        1         0
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 58.1  19.34      1  39        0         0
#> 111   17.45      1  47        0         1
#> 16.1   8.71      1  71        0         1
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 130   16.47      1  53        0         1
#> 68.1  20.62      1  44        0         0
#> 41    18.02      1  40        1         0
#> 127    3.53      1  62        0         1
#> 123   13.00      1  44        1         0
#> 194.1 22.40      1  38        0         1
#> 90    20.94      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 26.1  15.77      1  49        0         1
#> 149    8.37      1  33        1         0
#> 89.1  11.44      1  NA        0         0
#> 26.2  15.77      1  49        0         1
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 110.1 17.56      1  65        0         1
#> 106.2 16.67      1  49        1         0
#> 66.1  22.13      1  53        0         0
#> 164   23.60      1  76        0         1
#> 158   20.14      1  74        1         0
#> 92.1  22.92      1  47        0         1
#> 166.1 19.98      1  48        0         0
#> 76.2  19.22      1  54        0         1
#> 97    19.14      1  65        0         1
#> 199.2 19.81      1  NA        0         1
#> 175   21.91      1  43        0         0
#> 167.1 15.55      1  56        1         0
#> 70.1   7.38      1  30        1         0
#> 125.1 15.65      1  67        1         0
#> 181.1 16.46      1  45        0         1
#> 167.2 15.55      1  56        1         0
#> 199.3 19.81      1  NA        0         1
#> 59.1  10.16      1  NA        1         0
#> 101.2  9.97      1  10        0         1
#> 41.1  18.02      1  40        1         0
#> 139.1 21.49      1  63        1         0
#> 91.1   5.33      1  61        0         1
#> 88.2  18.37      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 57.1  14.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 155   13.08      1  26        0         0
#> 159   10.55      1  50        0         1
#> 157   15.10      1  47        0         0
#> 38    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 196   24.00      0  19        0         0
#> 46    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 33    24.00      0  53        0         0
#> 71.1  24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 112.1 24.00      0  61        0         0
#> 186   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 33.1  24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 152   24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 1.1   24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 9     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 87    24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 118.1 24.00      0  44        1         0
#> 53.1  24.00      0  32        0         1
#> 87.1  24.00      0  27        0         0
#> 191.1 24.00      0  60        0         1
#> 2     24.00      0   9        0         0
#> 162   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 33.2  24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 38.1  24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 135   24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 80    24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 163   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 17.1  24.00      0  38        0         1
#> 87.2  24.00      0  27        0         0
#> 20.1  24.00      0  46        1         0
#> 3     24.00      0  31        1         0
#> 165.2 24.00      0  47        0         0
#> 20.2  24.00      0  46        1         0
#> 173.1 24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 17.2  24.00      0  38        0         1
#> 38.2  24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 196.1 24.00      0  19        0         0
#> 193.2 24.00      0  45        0         1
#> 162.1 24.00      0  51        0         0
#> 9.2   24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 122.2 24.00      0  66        0         0
#> 9.3   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.44          NA        NA      NA
#> 2 age, Cure model           0.0216        NA        NA      NA
#> 3 grade_ii, Cure model      0.675         NA        NA      NA
#> 4 grade_iii, Cure model     1.18          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00938        NA        NA      NA
#> 2 grade_ii, Survival model   0.727          NA        NA      NA
#> 3 grade_iii, Survival model  0.375          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.44496           0.02161           0.67466           1.18489  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 242.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.44495892       0.02160909       0.67466467       1.18488618 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009375271      0.727144506      0.375336048 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.692032006 0.146892621 0.340858263 0.765150304 0.128526380 0.878574807
#>   [7] 0.733840333 0.340858263 0.526813515 0.723488568 0.969735541 0.260101234
#>  [13] 0.260101234 0.547461119 0.598933005 0.279911822 0.300161737 0.858239646
#>  [19] 0.796595499 0.049289375 0.003570256 0.609406774 0.939495973 0.744255306
#>  [25] 0.506319894 0.765150304 0.393087802 0.003570256 0.796595499 0.516561173
#>  [31] 0.619875354 0.075007071 0.201854159 0.434907883 0.014888910 0.888789539
#>  [37] 0.040062193 0.066440190 0.100814491 0.919432326 0.128526380 0.230598789
#>  [43] 0.827604140 0.211335925 0.403523871 0.939495973 0.526813515 0.485819887
#>  [49] 0.827604140 0.858239646 0.796595499 0.465164867 0.083944607 0.434907883
#>  [55] 0.578278273 0.183295059 0.786070366 0.279911822 0.424348164 0.888789539
#>  [61] 0.164932304 0.959655806 0.475479536 0.183295059 0.372312244 0.989864533
#>  [67] 0.713029753 0.083944607 0.174092035 0.300161737 0.547461119 0.909219264
#>  [73] 0.547461119 0.250021629 0.671265280 0.403523871 0.434907883 0.100814491
#>  [79] 0.023241457 0.220974446 0.049289375 0.230598789 0.300161737 0.330389594
#>  [85] 0.118872231 0.619875354 0.919432326 0.578278273 0.485819887 0.619875354
#>  [91] 0.827604140 0.372312244 0.146892621 0.969735541 0.340858263 0.023241457
#>  [97] 0.671265280 0.660815188 0.702513908 0.754696354 0.650413315 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    13   139    88    10   197   183    56  88.1   100   154    91   170 170.1 
#> 14.34 21.49 18.37 10.53 21.60  9.24 12.21 18.37 16.07 12.63  5.33 19.54 19.54 
#>    26     6    58    76   187   145    92    24    39    77    43   192  10.1 
#> 15.77 15.64 19.34 19.22  9.92 10.07 22.92 23.89 15.59  7.27 12.10 16.44 10.53 
#>   134  24.1 145.1   188   167    15   128   106    86    16    69    63    66 
#> 17.81 23.89 10.07 16.16 15.55 22.68 20.35 16.67 23.81  8.71 23.23 22.77 22.13 
#>    70 197.1   166   101   150   110  77.1 100.1   181 101.1 187.1 145.2   171 
#>  7.38 21.60 19.98  9.97 20.33 17.56  7.27 16.07 16.46  9.97  9.92 10.07 16.57 
#>   194 106.1   125    68    61  58.1   111  16.1   153    25   130  68.1    41 
#> 22.40 16.67 15.65 20.62 10.12 19.34 17.45  8.71 21.33  6.32 16.47 20.62 18.02 
#>   127   123 194.1    90  76.1  26.1   149  26.2   105    57 110.1 106.2  66.1 
#>  3.53 13.00 22.40 20.94 19.22 15.77  8.37 15.77 19.75 14.46 17.56 16.67 22.13 
#>   164   158  92.1 166.1  76.2    97   175 167.1  70.1 125.1 181.1 167.2 101.2 
#> 23.60 20.14 22.92 19.98 19.22 19.14 21.91 15.55  7.38 15.65 16.46 15.55  9.97 
#>  41.1 139.1  91.1  88.2 164.1  57.1   180   155   159   157    38    17    53 
#> 18.02 21.49  5.33 18.37 23.60 14.46 14.82 13.08 10.55 15.10 24.00 24.00 24.00 
#>   196    46     1    71   193   191    33  71.1    22   112 112.1   186    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   122   109  33.1    44    47  46.1    19   152    31   1.1   182     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   165   138    87   118    27 118.1  53.1  87.1 191.1     2   162   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35  33.2   173  38.1 109.1    21    74   135    94   176    20   143 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 122.1  44.1   163   121   185   148    12    48   198  17.1  87.2  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3 165.2  20.2 173.1 193.1   132    67  17.2  38.2   200 196.1 193.2 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2  74.1 122.2   9.3 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01479616                0.24230431                0.09763259 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.60653704              0.01377497             -0.12596832 
#>   grade_iii, Cure model 
#>              0.44060471 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 139   21.49      1  63        1         0
#> 177   12.53      1  75        0         0
#> 76    19.22      1  54        0         1
#> 129   23.41      1  53        1         0
#> 106   16.67      1  49        1         0
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 149    8.37      1  33        1         0
#> 199   19.81      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 49    12.19      1  48        1         0
#> 60    13.15      1  38        1         0
#> 39    15.59      1  37        0         1
#> 43    12.10      1  61        0         1
#> 14    12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 76.1  19.22      1  54        0         1
#> 100   16.07      1  60        0         0
#> 60.1  13.15      1  38        1         0
#> 105   19.75      1  60        0         0
#> 13    14.34      1  54        0         1
#> 197   21.60      1  69        1         0
#> 130   16.47      1  53        0         1
#> 91     5.33      1  61        0         1
#> 192   16.44      1  31        1         0
#> 52    10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 39.1  15.59      1  37        0         1
#> 195   11.76      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 107   11.18      1  54        1         0
#> 96    14.54      1  33        0         1
#> 192.1 16.44      1  31        1         0
#> 111   17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 157   15.10      1  47        0         0
#> 25     6.32      1  34        1         0
#> 36    21.19      1  48        0         1
#> 30    17.43      1  78        0         0
#> 42.1  12.43      1  49        0         1
#> 91.1   5.33      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 86    23.81      1  58        0         1
#> 29    15.45      1  68        1         0
#> 92    22.92      1  47        0         1
#> 49.1  12.19      1  48        1         0
#> 105.1 19.75      1  60        0         0
#> 78    23.88      1  43        0         0
#> 63    22.77      1  31        1         0
#> 129.1 23.41      1  53        1         0
#> 149.1  8.37      1  33        1         0
#> 130.1 16.47      1  53        0         1
#> 164   23.60      1  76        0         1
#> 90    20.94      1  50        0         1
#> 68    20.62      1  44        0         0
#> 97    19.14      1  65        0         1
#> 39.2  15.59      1  37        0         1
#> 56    12.21      1  60        0         0
#> 88    18.37      1  47        0         0
#> 10    10.53      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 45    17.42      1  54        0         1
#> 51    18.23      1  83        0         1
#> 128   20.35      1  35        0         1
#> 199.1 19.81      1  NA        0         1
#> 14.1  12.89      1  21        0         0
#> 91.2   5.33      1  61        0         1
#> 110   17.56      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 128.1 20.35      1  35        0         1
#> 52.2  10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 133   14.65      1  57        0         0
#> 188   16.16      1  46        0         1
#> 58.1  19.34      1  39        0         0
#> 159   10.55      1  50        0         1
#> 41    18.02      1  40        1         0
#> 86.1  23.81      1  58        0         1
#> 184   17.77      1  38        0         0
#> 81.1  14.06      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 41.1  18.02      1  40        1         0
#> 183    9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 89.2  11.44      1  NA        0         0
#> 140   12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 88.1  18.37      1  47        0         0
#> 187.1  9.92      1  39        1         0
#> 168.1 23.72      1  70        0         0
#> 166   19.98      1  48        0         0
#> 49.2  12.19      1  48        1         0
#> 139.1 21.49      1  63        1         0
#> 117   17.46      1  26        0         1
#> 14.2  12.89      1  21        0         0
#> 77     7.27      1  67        0         1
#> 199.2 19.81      1  NA        0         1
#> 133.1 14.65      1  57        0         0
#> 125   15.65      1  67        1         0
#> 70.1   7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 89.3  11.44      1  NA        0         0
#> 192.2 16.44      1  31        1         0
#> 170   19.54      1  43        0         1
#> 63.1  22.77      1  31        1         0
#> 92.1  22.92      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 126   24.00      0  48        0         0
#> 186   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 19    24.00      0  57        0         1
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 33    24.00      0  53        0         0
#> 186.1 24.00      0  45        1         0
#> 126.1 24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 196   24.00      0  19        0         0
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 126.2 24.00      0  48        0         0
#> 33.1  24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 143   24.00      0  51        0         0
#> 19.1  24.00      0  57        0         1
#> 102   24.00      0  49        0         0
#> 174.1 24.00      0  49        1         0
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 186.2 24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 160   24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 98.2  24.00      0  34        1         0
#> 138.1 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 83.1  24.00      0   6        0         0
#> 95.1  24.00      0  68        0         1
#> 198.1 24.00      0  66        0         1
#> 3     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 193   24.00      0  45        0         1
#> 121.1 24.00      0  57        1         0
#> 95.2  24.00      0  68        0         1
#> 196.1 24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 138.2 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 9.1   24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 104   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 75.1  24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 132   24.00      0  55        0         0
#> 19.2  24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 47.1  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 3.1   24.00      0  31        1         0
#> 95.3  24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 198.2 24.00      0  66        0         1
#> 172.1 24.00      0  41        0         0
#> 3.2   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 174.2 24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 53    24.00      0  32        0         1
#> 152.1 24.00      0  36        0         1
#> 143.1 24.00      0  51        0         0
#> 193.1 24.00      0  45        0         1
#> 28    24.00      0  67        1         0
#> 126.3 24.00      0  48        0         0
#> 11.1  24.00      0  42        0         1
#> 102.1 24.00      0  49        0         0
#> 74    24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 103   24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.607         NA        NA      NA
#> 2 age, Cure model           0.0138        NA        NA      NA
#> 3 grade_ii, Cure model     -0.126         NA        NA      NA
#> 4 grade_iii, Cure model     0.441         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0148        NA        NA      NA
#> 2 grade_ii, Survival model    0.242         NA        NA      NA
#> 3 grade_iii, Survival model   0.0976        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.60654           0.01377          -0.12597           0.44060  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 255.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.60653704       0.01377497      -0.12596832       0.44060471 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01479616       0.24230431       0.09763259 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.739057e-02 5.603085e-01 1.031075e-01 5.814374e-03 2.241726e-01
#>   [6] 1.385250e-01 7.993269e-01 8.482064e-01 6.206263e-02 5.881029e-01
#>  [11] 6.311014e-01 4.812399e-01 3.256641e-01 6.749428e-01 5.073033e-01
#>  [16] 2.071347e-02 1.031075e-01 2.933262e-01 4.812399e-01 7.280020e-02
#>  [21] 4.428185e-01 2.392602e-02 2.337935e-01 9.483590e-01 2.534260e-01
#>  [26] 7.518157e-01 4.302614e-01 9.048377e-02 3.256641e-01 3.586024e-01
#>  [31] 6.900702e-01 4.178612e-01 2.534260e-01 1.964653e-01 3.817864e-01
#>  [36] 9.313452e-01 3.885842e-02 2.054476e-01 5.881029e-01 9.483590e-01
#>  [41] 5.603085e-01 3.982978e-04 3.700975e-01 9.989538e-03 6.311014e-01
#>  [46] 7.280020e-02 6.021046e-05 1.515901e-02 5.814374e-03 8.482064e-01
#>  [51] 2.337935e-01 3.917344e-03 4.316961e-02 4.769516e-02 1.165628e-01
#>  [56] 3.256641e-01 6.165234e-01 1.237439e-01 7.207690e-01 7.518157e-01
#>  [61] 2.147072e-01 1.462862e-01 5.243615e-02 5.073033e-01 9.483590e-01
#>  [66] 1.789646e-01 5.243615e-02 7.518157e-01 4.555577e-01 3.936576e-01
#>  [71] 2.829544e-01 9.048377e-02 7.053404e-01 1.543366e-01 3.982978e-04
#>  [76] 1.705032e-01 4.555577e-01 1.543366e-01 8.316921e-01 3.475596e-02
#>  [81] 1.561219e-03 5.466931e-01 8.811908e-01 1.237439e-01 7.993269e-01
#>  [86] 1.561219e-03 6.732256e-02 6.311014e-01 2.739057e-02 1.876640e-01
#>  [91] 5.073033e-01 9.144023e-01 3.936576e-01 3.039184e-01 8.811908e-01
#>  [96] 3.147089e-01 2.534260e-01 8.432694e-02 1.515901e-02 9.989538e-03
#> [101] 7.207690e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   139   177    76   129   106   108   187   149   158    42    49    60    39 
#> 21.49 12.53 19.22 23.41 16.67 18.29  9.92  8.37 20.14 12.43 12.19 13.15 15.59 
#>    43    14   175  76.1   100  60.1   105    13   197   130    91   192    52 
#> 12.10 12.89 21.91 19.22 16.07 13.15 19.75 14.34 21.60 16.47  5.33 16.44 10.42 
#>    57    58  39.1   167   107    96 192.1   111   157    25    36    30  42.1 
#> 14.46 19.34 15.59 15.55 11.18 14.54 16.44 17.45 15.10  6.32 21.19 17.43 12.43 
#>  91.1 177.1    86    29    92  49.1 105.1    78    63 129.1 149.1 130.1   164 
#>  5.33 12.53 23.81 15.45 22.92 12.19 19.75 23.88 22.77 23.41  8.37 16.47 23.60 
#>    90    68    97  39.2    56    88    10  52.1    45    51   128  14.1  91.2 
#> 20.94 20.62 19.14 15.59 12.21 18.37 10.53 10.42 17.42 18.23 20.35 12.89  5.33 
#>   110 128.1  52.2    81   133   188  58.1   159    41  86.1   184  81.1  41.1 
#> 17.56 20.35 10.42 14.06 14.65 16.16 19.34 10.55 18.02 23.81 17.77 14.06 18.02 
#>   183   153   168   140    70  88.1 187.1 168.1   166  49.2 139.1   117  14.2 
#>  9.24 21.33 23.72 12.68  7.38 18.37  9.92 23.72 19.98 12.19 21.49 17.46 12.89 
#>    77 133.1   125  70.1     6 192.2   170  63.1  92.1  10.1   126   186     1 
#>  7.27 14.65 15.65  7.38 15.64 16.44 19.54 22.77 22.92 10.53 24.00 24.00 24.00 
#>    19    75   142    33 186.1 126.1    83   165   196    98   174   138  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.2  33.1    46   198   143  19.1   102 174.1   156    95    71     2    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.2    94   160    20    27  98.2 138.1  46.1   173  83.1  95.1 198.1     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121    11   193 121.1  95.2 196.1   131   185     9  27.1 138.2   182   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   104   152  75.1   172    47 156.1   132  19.2     7  47.1   161   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.3   112 198.2 172.1   3.2   137   122 174.2    54    53 152.1 143.1 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28 126.3  11.1 102.1    74   135   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02208804                0.66266039                0.52725767 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.88427053              0.01242424              0.29783252 
#>   grade_iii, Cure model 
#>              1.23195431 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 41    18.02      1  40        1         0
#> 4     17.64      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 68    20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 183    9.24      1  67        1         0
#> 4.1   17.64      1  NA        0         1
#> 117   17.46      1  26        0         1
#> 153   21.33      1  55        1         0
#> 59    10.16      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 91     5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 183.1  9.24      1  67        1         0
#> 77     7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 90    20.94      1  50        0         1
#> 107   11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 179   18.63      1  42        0         0
#> 49    12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 125   15.65      1  67        1         0
#> 154.1 12.63      1  20        1         0
#> 39    15.59      1  37        0         1
#> 59.1  10.16      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 91.1   5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 189.2 10.51      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 140   12.68      1  59        1         0
#> 42.1  12.43      1  49        0         1
#> 154.2 12.63      1  20        1         0
#> 91.2   5.33      1  61        0         1
#> 56    12.21      1  60        0         0
#> 140.1 12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 187    9.92      1  39        1         0
#> 133   14.65      1  57        0         0
#> 150   20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 166   19.98      1  48        0         0
#> 171.1 16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 107.1 11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 195.1 11.76      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 184   17.77      1  38        0         0
#> 183.2  9.24      1  67        1         0
#> 140.2 12.68      1  59        1         0
#> 52    10.42      1  52        0         1
#> 111.1 17.45      1  47        0         1
#> 123.1 13.00      1  44        1         0
#> 13    14.34      1  54        0         1
#> 125.1 15.65      1  67        1         0
#> 187.1  9.92      1  39        1         0
#> 15    22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 155   13.08      1  26        0         0
#> 130   16.47      1  53        0         1
#> 92    22.92      1  47        0         1
#> 58    19.34      1  39        0         0
#> 78    23.88      1  43        0         0
#> 195.2 11.76      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 29    15.45      1  68        1         0
#> 16.1   8.71      1  71        0         1
#> 60    13.15      1  38        1         0
#> 49.1  12.19      1  48        1         0
#> 105   19.75      1  60        0         0
#> 157   15.10      1  47        0         0
#> 96    14.54      1  33        0         1
#> 166.1 19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 195.3 11.76      1  NA        1         0
#> 107.2 11.18      1  54        1         0
#> 42.2  12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 107.3 11.18      1  54        1         0
#> 60.1  13.15      1  38        1         0
#> 13.1  14.34      1  54        0         1
#> 125.2 15.65      1  67        1         0
#> 133.1 14.65      1  57        0         0
#> 194   22.40      1  38        0         1
#> 136   21.83      1  43        0         1
#> 26    15.77      1  49        0         1
#> 139   21.49      1  63        1         0
#> 153.1 21.33      1  55        1         0
#> 57    14.46      1  45        0         1
#> 56.1  12.21      1  60        0         0
#> 184.1 17.77      1  38        0         0
#> 30    17.43      1  78        0         0
#> 60.2  13.15      1  38        1         0
#> 43.1  12.10      1  61        0         1
#> 199.1 19.81      1  NA        0         1
#> 77.1   7.27      1  67        0         1
#> 23    16.92      1  61        0         0
#> 63    22.77      1  31        1         0
#> 81    14.06      1  34        0         0
#> 5     16.43      1  51        0         1
#> 195.4 11.76      1  NA        1         0
#> 43.2  12.10      1  61        0         1
#> 155.1 13.08      1  26        0         0
#> 5.1   16.43      1  51        0         1
#> 117.1 17.46      1  26        0         1
#> 176   24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 163   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 34    24.00      0  36        0         0
#> 48    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 95    24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 27    24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 178   24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 115.1 24.00      0  NA        1         0
#> 3     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 1     24.00      0  23        1         0
#> 21.1  24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 95.1  24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 115.2 24.00      0  NA        1         0
#> 28.1  24.00      0  67        1         0
#> 22    24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 122   24.00      0  66        0         0
#> 34.1  24.00      0  36        0         0
#> 83    24.00      0   6        0         0
#> 115.3 24.00      0  NA        1         0
#> 1.1   24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 162.1 24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 47    24.00      0  38        0         1
#> 3.1   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 28.2  24.00      0  67        1         0
#> 20.1  24.00      0  46        1         0
#> 119.1 24.00      0  17        0         0
#> 141.1 24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 82    24.00      0  34        0         0
#> 3.2   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 65.1  24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 120   24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 22.1  24.00      0  52        1         0
#> 20.2  24.00      0  46        1         0
#> 44    24.00      0  56        0         0
#> 173   24.00      0  19        0         1
#> 67.1  24.00      0  25        0         0
#> 176.1 24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 186   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 54.1  24.00      0  53        1         0
#> 174   24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.884         NA        NA      NA
#> 2 age, Cure model           0.0124        NA        NA      NA
#> 3 grade_ii, Cure model      0.298         NA        NA      NA
#> 4 grade_iii, Cure model     1.23          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0221        NA        NA      NA
#> 2 grade_ii, Survival model    0.663         NA        NA      NA
#> 3 grade_iii, Survival model   0.527         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.88427           0.01242           0.29783           1.23195  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    249.7 
#> Residual Deviance: 237.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.88427053       0.01242424       0.29783252       1.23195431 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02208804       0.66266039       0.52725767 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7098556 0.8999391 0.6404366 0.9252914 0.9737329 0.7392827 0.5723381
#>   [8] 0.7174815 0.9937997 0.8009196 0.8062464 0.9737329 0.9873402 0.6306470
#>  [15] 0.6099763 0.9537156 0.5978471 0.6936937 0.9399805 0.9160688 0.8312128
#>  [22] 0.9160688 0.8439071 0.6099763 0.9937997 0.9663675 0.9806506 0.7842448
#>  [29] 0.9066549 0.9252914 0.9160688 0.9937997 0.9341604 0.9066549 0.9851179
#>  [36] 0.9688547 0.8561431 0.6499865 0.8062464 0.6592787 0.7842448 0.7531224
#>  [43] 0.9537156 0.9456394 0.7723157 0.7249022 0.9737329 0.9066549 0.9638521
#>  [50] 0.7531224 0.8999391 0.8716243 0.8312128 0.9688547 0.4477912 0.7019146
#>  [57] 0.8930100 0.7954629 0.3576258 0.6853212 0.2429033 0.5081128 0.8480999
#>  [64] 0.9806506 0.8825737 0.9399805 0.6768064 0.8521388 0.8639492 0.6592787
#>  [71] 0.9537156 0.9252914 0.9916547 0.9537156 0.8825737 0.8716243 0.8312128
#>  [78] 0.8561431 0.4806928 0.5333728 0.8264046 0.5551479 0.5723381 0.8678171
#>  [85] 0.9341604 0.7249022 0.7660622 0.8825737 0.9456394 0.9873402 0.7783453
#>  [92] 0.4095985 0.8789301 0.8165882 0.9456394 0.8930100 0.8165882 0.7392827
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    41   123    68    42   183   117   153    40    91   181    85 183.1    77 
#> 18.02 13.00 20.62 12.43  9.24 17.46 21.33 18.00  5.33 16.46 16.44  9.24  7.27 
#>   190    90   107    99   179    49   154   125 154.1    39  90.1  91.1    93 
#> 20.81 20.94 11.18 21.19 18.63 12.19 12.63 15.65 12.63 15.59 20.94  5.33 10.33 
#>    16   171   140  42.1 154.2  91.2    56 140.1    70   187   133   150   192 
#>  8.71 16.57 12.68 12.43 12.63  5.33 12.21 12.68  7.38  9.92 14.65 20.33 16.44 
#>   166 171.1   111 107.1    43    45   184 183.2 140.2    52 111.1 123.1    13 
#> 19.98 16.57 17.45 11.18 12.10 17.42 17.77  9.24 12.68 10.42 17.45 13.00 14.34 
#> 125.1 187.1    15   108   155   130    92    58    78   175    29  16.1    60 
#> 15.65  9.92 22.68 18.29 13.08 16.47 22.92 19.34 23.88 21.91 15.45  8.71 13.15 
#>  49.1   105   157    96 166.1 107.2  42.2    25 107.3  60.1  13.1 125.2 133.1 
#> 12.19 19.75 15.10 14.54 19.98 11.18 12.43  6.32 11.18 13.15 14.34 15.65 14.65 
#>   194   136    26   139 153.1    57  56.1 184.1    30  60.2  43.1  77.1    23 
#> 22.40 21.83 15.77 21.49 21.33 14.46 12.21 17.77 17.43 13.15 12.10  7.27 16.92 
#>    63    81     5  43.2 155.1   5.1 117.1   176    28   163    98    34    48 
#> 22.77 14.06 16.43 12.10 13.08 16.43 17.46 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54    95   182     2    27    21   178    65   152     9  27.1    72   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   119    33   162   112     3    53     1  21.1   109   200  95.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1    22   146    67   122  34.1    83   1.1   151 162.1    20   135    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    47   3.1   137   165  28.2  20.1 119.1 141.1   191    82   3.2    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1 178.1   198   120   142   132  22.1  20.2    44   173  67.1 176.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   131    87   186   143   156    19  54.1   174   160   185 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001104396               0.561182227               0.565221754 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.254881360             0.005057954            -0.083197648 
#>   grade_iii, Cure model 
#>             0.520031854 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 26    15.77      1  49        0         1
#> 60    13.15      1  38        1         0
#> 68    20.62      1  44        0         0
#> 130   16.47      1  53        0         1
#> 36    21.19      1  48        0         1
#> 79    16.23      1  54        1         0
#> 134   17.81      1  47        1         0
#> 37    12.52      1  57        1         0
#> 51    18.23      1  83        0         1
#> 188   16.16      1  46        0         1
#> 24.1  23.89      1  38        0         0
#> 59    10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 51.1  18.23      1  83        0         1
#> 171   16.57      1  41        0         1
#> 49    12.19      1  48        1         0
#> 23    16.92      1  61        0         0
#> 184   17.77      1  38        0         0
#> 159   10.55      1  50        0         1
#> 106   16.67      1  49        1         0
#> 56    12.21      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 85    16.44      1  36        0         0
#> 192   16.44      1  31        1         0
#> 41    18.02      1  40        1         0
#> 111.1 17.45      1  47        0         1
#> 105   19.75      1  60        0         0
#> 194   22.40      1  38        0         1
#> 139   21.49      1  63        1         0
#> 100   16.07      1  60        0         0
#> 192.1 16.44      1  31        1         0
#> 166   19.98      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 59.1  10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 52    10.42      1  52        0         1
#> 125   15.65      1  67        1         0
#> 32    20.90      1  37        1         0
#> 96    14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 57    14.46      1  45        0         1
#> 159.1 10.55      1  50        0         1
#> 113   22.86      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 58    19.34      1  39        0         0
#> 96.1  14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 70     7.38      1  30        1         0
#> 16     8.71      1  71        0         1
#> 78    23.88      1  43        0         0
#> 179   18.63      1  42        0         0
#> 199   19.81      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 127    3.53      1  62        0         1
#> 25.1   6.32      1  34        1         0
#> 124    9.73      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 56.2  12.21      1  60        0         0
#> 24.2  23.89      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 68.1  20.62      1  44        0         0
#> 171.1 16.57      1  41        0         1
#> 39    15.59      1  37        0         1
#> 154   12.63      1  20        1         0
#> 166.1 19.98      1  48        0         0
#> 14    12.89      1  21        0         0
#> 130.1 16.47      1  53        0         1
#> 14.1  12.89      1  21        0         0
#> 50.1  10.02      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 50.2  10.02      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 158.1 20.14      1  74        1         0
#> 25.2   6.32      1  34        1         0
#> 114   13.68      1  NA        0         0
#> 50.3  10.02      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 194.1 22.40      1  38        0         1
#> 194.2 22.40      1  38        0         1
#> 114.1 13.68      1  NA        0         0
#> 63.1  22.77      1  31        1         0
#> 6     15.64      1  39        0         0
#> 52.1  10.42      1  52        0         1
#> 85.1  16.44      1  36        0         0
#> 24.3  23.89      1  38        0         0
#> 93.1  10.33      1  52        0         1
#> 81    14.06      1  34        0         0
#> 127.1  3.53      1  62        0         1
#> 50.4  10.02      1  NA        1         0
#> 56.3  12.21      1  60        0         0
#> 114.2 13.68      1  NA        0         0
#> 125.1 15.65      1  67        1         0
#> 188.1 16.16      1  46        0         1
#> 159.2 10.55      1  50        0         1
#> 194.3 22.40      1  38        0         1
#> 117   17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 14.2  12.89      1  21        0         0
#> 164   23.60      1  76        0         1
#> 106.1 16.67      1  49        1         0
#> 63.2  22.77      1  31        1         0
#> 97    19.14      1  65        0         1
#> 143   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 17.1  24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 198   24.00      0  66        0         1
#> 198.1 24.00      0  66        0         1
#> 1     24.00      0  23        1         0
#> 19    24.00      0  57        0         1
#> 160   24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 2.1   24.00      0   9        0         0
#> 22    24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 138   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 33.1  24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 19.1  24.00      0  57        0         1
#> 122   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 27    24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 20.1  24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 126   24.00      0  48        0         0
#> 143.1 24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 137   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 135   24.00      0  58        1         0
#> 7.1   24.00      0  37        1         0
#> 83.1  24.00      0   6        0         0
#> 65    24.00      0  57        1         0
#> 27.1  24.00      0  63        1         0
#> 131   24.00      0  66        0         0
#> 2.2   24.00      0   9        0         0
#> 74    24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 126.1 24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 53.1  24.00      0  32        0         1
#> 115.1 24.00      0  NA        1         0
#> 33.2  24.00      0  53        0         0
#> 126.2 24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 146.1 24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 83.2  24.00      0   6        0         0
#> 9     24.00      0  31        1         0
#> 163.1 24.00      0  66        0         0
#> 11.1  24.00      0  42        0         1
#> 200   24.00      0  64        0         0
#> 20.2  24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 27.2  24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 9.1   24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 2.3   24.00      0   9        0         0
#> 11.2  24.00      0  42        0         1
#> 27.3  24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 72.2  24.00      0  40        0         1
#> 112   24.00      0  61        0         0
#> 174.1 24.00      0  49        1         0
#> 115.2 24.00      0  NA        1         0
#> 151.1 24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.255          NA        NA      NA
#> 2 age, Cure model          0.00506        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0832         NA        NA      NA
#> 4 grade_iii, Cure model    0.520          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00110        NA        NA      NA
#> 2 grade_ii, Survival model   0.561          NA        NA      NA
#> 3 grade_iii, Survival model  0.565          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.254881          0.005058         -0.083198          0.520032  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    250.3 
#> Residual Deviance: 246.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.254881360      0.005057954     -0.083197648      0.520031854 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001104396      0.561182227      0.565221754 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.03347557 0.68637343 0.76963287 0.33073588 0.59912366 0.29630424
#>   [7] 0.65180720 0.49314721 0.81766156 0.45149908 0.66059132 0.03347557
#>  [13] 0.53332790 0.45149908 0.58080929 0.85708975 0.55244093 0.50328278
#>  [19] 0.87289995 0.56209254 0.82562338 0.13669615 0.61707602 0.61707602
#>  [25] 0.47244035 0.53332790 0.39671319 0.23627693 0.28391516 0.67773808
#>  [31] 0.61707602 0.37496071 0.82562338 0.29630424 0.48287140 0.90366435
#>  [37] 0.69493691 0.31930616 0.73687739 0.94152678 0.75326880 0.87289995
#>  [43] 0.17500991 0.76963287 0.40776248 0.73687739 0.96387901 0.44059426
#>  [49] 0.95646734 0.94901550 0.09498092 0.42970308 0.91891181 0.98560134
#>  [55] 0.96387901 0.51342675 0.82562338 0.03347557 0.35327351 0.33073588
#>  [61] 0.58080929 0.72013665 0.80964937 0.37496071 0.78568209 0.59912366
#>  [67] 0.78568209 0.93399370 0.89592139 0.19351938 0.35327351 0.96387901
#>  [73] 0.72850510 0.11703558 0.23627693 0.23627693 0.19351938 0.71170063
#>  [79] 0.90366435 0.61707602 0.03347557 0.91891181 0.76144921 0.98560134
#>  [85] 0.82562338 0.69493691 0.66059132 0.87289995 0.23627693 0.52344447
#>  [91] 0.86501815 0.78568209 0.15657406 0.56209254 0.19351938 0.41882441
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000
#> 
#> $Time
#>    24    26    60    68   130    36    79   134    37    51   188  24.1   111 
#> 23.89 15.77 13.15 20.62 16.47 21.19 16.23 17.81 12.52 18.23 16.16 23.89 17.45 
#>  51.1   171    49    23   184   159   106    56   168    85   192    41 111.1 
#> 18.23 16.57 12.19 16.92 17.77 10.55 16.67 12.21 23.72 16.44 16.44 18.02 17.45 
#>   105   194   139   100 192.1   166  56.1  36.1    40    52   125    32    96 
#> 19.75 22.40 21.49 16.07 16.44 19.98 12.21 21.19 18.00 10.42 15.65 20.90 14.54 
#>   101    57 159.1   113  60.1    58  96.1    25    88    70    16    78   179 
#>  9.97 14.46 10.55 22.86 13.15 19.34 14.54  6.32 18.37  7.38  8.71 23.88 18.63 
#>    93   127  25.1   110  56.2  24.2   158  68.1 171.1    39   154 166.1    14 
#> 10.33  3.53  6.32 17.56 12.21 23.89 20.14 20.62 16.57 15.59 12.63 19.98 12.89 
#> 130.1  14.1   145    10    63 158.1  25.2   180    86 194.1 194.2  63.1     6 
#> 16.47 12.89 10.07 10.53 22.77 20.14  6.32 14.82 23.81 22.40 22.40 22.77 15.64 
#>  52.1  85.1  24.3  93.1    81 127.1  56.3 125.1 188.1 159.2 194.3   117    43 
#> 10.42 16.44 23.89 10.33 14.06  3.53 12.21 15.65 16.16 10.55 22.40 17.46 12.10 
#>  14.2   164 106.1  63.2    97   143   146    17   142     2     7    33    83 
#> 12.89 23.60 16.67 22.77 19.14 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1   198 198.1     1    19   160    20   2.1    22   102   138    75    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    31    46  19.1   122   109   173    27   118    53   147  20.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 143.1 173.1    72   151   137   103   135   7.1  83.1    65  27.1   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.2    74   121    11   163 126.1 109.1  53.1  33.2 126.2 160.1 122.1 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144  83.2     9 163.1  11.1   200  20.2  75.1    95   193   116  27.2   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 173.2    54   2.3  11.2  27.3  72.1  72.2   112 174.1 151.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02203607                0.91404871                0.60067231 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.027312012             0.002938357            -0.247765118 
#>   grade_iii, Cure model 
#>             0.288922374 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 108   18.29      1  39        0         1
#> 180   14.82      1  37        0         0
#> 105   19.75      1  60        0         0
#> 127    3.53      1  62        0         1
#> 39    15.59      1  37        0         1
#> 128   20.35      1  35        0         1
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 183    9.24      1  67        1         0
#> 30    17.43      1  78        0         0
#> 171   16.57      1  41        0         1
#> 166   19.98      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 10    10.53      1  34        0         0
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 169   22.41      1  46        0         0
#> 177   12.53      1  75        0         0
#> 145   10.07      1  65        1         0
#> 157   15.10      1  47        0         0
#> 49    12.19      1  48        1         0
#> 68    20.62      1  44        0         0
#> 76    19.22      1  54        0         1
#> 79    16.23      1  54        1         0
#> 187    9.92      1  39        1         0
#> 16     8.71      1  71        0         1
#> 184   17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 101    9.97      1  10        0         1
#> 171.1 16.57      1  41        0         1
#> 180.1 14.82      1  37        0         0
#> 85    16.44      1  36        0         0
#> 76.1  19.22      1  54        0         1
#> 155   13.08      1  26        0         0
#> 155.1 13.08      1  26        0         0
#> 127.1  3.53      1  62        0         1
#> 123   13.00      1  44        1         0
#> 100   16.07      1  60        0         0
#> 130   16.47      1  53        0         1
#> 195.1 11.76      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 79.1  16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 139.1 21.49      1  63        1         0
#> 26    15.77      1  49        0         1
#> 154   12.63      1  20        1         0
#> 25     6.32      1  34        1         0
#> 13    14.34      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 111   17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 96    14.54      1  33        0         1
#> 177.1 12.53      1  75        0         0
#> 43    12.10      1  61        0         1
#> 42    12.43      1  49        0         1
#> 10.1  10.53      1  34        0         0
#> 42.1  12.43      1  49        0         1
#> 183.1  9.24      1  67        1         0
#> 197   21.60      1  69        1         0
#> 6     15.64      1  39        0         0
#> 76.2  19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 133.1 14.65      1  57        0         0
#> 139.2 21.49      1  63        1         0
#> 13.1  14.34      1  54        0         1
#> 106   16.67      1  49        1         0
#> 180.2 14.82      1  37        0         0
#> 13.2  14.34      1  54        0         1
#> 86.1  23.81      1  58        0         1
#> 184.1 17.77      1  38        0         0
#> 78.1  23.88      1  43        0         0
#> 181   16.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 183.2  9.24      1  67        1         0
#> 113   22.86      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 16.1   8.71      1  71        0         1
#> 50    10.02      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 127.2  3.53      1  62        0         1
#> 68.1  20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 110.1 17.56      1  65        0         1
#> 88    18.37      1  47        0         0
#> 79.2  16.23      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 169.2 22.41      1  46        0         0
#> 37.1  12.52      1  57        1         0
#> 111.1 17.45      1  47        0         1
#> 157.1 15.10      1  47        0         0
#> 159.1 10.55      1  50        0         1
#> 6.1   15.64      1  39        0         0
#> 184.2 17.77      1  38        0         0
#> 57    14.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 41    18.02      1  40        1         0
#> 168.2 23.72      1  70        0         0
#> 70.1   7.38      1  30        1         0
#> 125.1 15.65      1  67        1         0
#> 96.2  14.54      1  33        0         1
#> 101.1  9.97      1  10        0         1
#> 101.2  9.97      1  10        0         1
#> 192   16.44      1  31        1         0
#> 106.1 16.67      1  49        1         0
#> 66    22.13      1  53        0         0
#> 181.1 16.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 182   24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 200   24.00      0  64        0         0
#> 80    24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 182.1 24.00      0  35        0         0
#> 137   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 112   24.00      0  61        0         0
#> 74    24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 137.1 24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 156   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 11    24.00      0  42        0         1
#> 135   24.00      0  58        1         0
#> 198   24.00      0  66        0         1
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 200.1 24.00      0  64        0         0
#> 74.1  24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 152   24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 11.1  24.00      0  42        0         1
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 112.1 24.00      0  61        0         0
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 178   24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 132   24.00      0  55        0         0
#> 95.1  24.00      0  68        0         1
#> 132.1 24.00      0  55        0         0
#> 34.1  24.00      0  36        0         0
#> 48    24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 162.1 24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 144   24.00      0  28        0         1
#> 122   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 120.1 24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 120.2 24.00      0  68        0         1
#> 182.2 24.00      0  35        0         0
#> 12    24.00      0  63        0         0
#> 161   24.00      0  45        0         0
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 198.1 24.00      0  66        0         1
#> 146   24.00      0  63        1         0
#> 173.1 24.00      0  19        0         1
#> 116   24.00      0  58        0         1
#> 67    24.00      0  25        0         0
#> 20.1  24.00      0  46        1         0
#> 144.1 24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 21    24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 131.1 24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 48.1  24.00      0  31        1         0
#> 173.2 24.00      0  19        0         1
#> 191   24.00      0  60        0         1
#> 176   24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 121   24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0273         NA        NA      NA
#> 2 age, Cure model          0.00294        NA        NA      NA
#> 3 grade_ii, Cure model    -0.248          NA        NA      NA
#> 4 grade_iii, Cure model    0.289          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0220        NA        NA      NA
#> 2 grade_ii, Survival model    0.914         NA        NA      NA
#> 3 grade_iii, Survival model   0.601         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.027312          0.002938         -0.247765          0.288922  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 263.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.027312012      0.002938357     -0.247765118      0.288922374 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02203607       0.91404871       0.60067231 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 3.224627e-04 7.676562e-02 3.759178e-01 4.470905e-02 9.539520e-01
#>   [6] 3.317820e-01 3.590734e-02 4.106640e-01 2.444932e-05 8.334952e-01
#>  [11] 1.384248e-01 1.714832e-01 4.015088e-02 1.566886e-02 2.449003e-02
#>  [16] 6.026270e-01 7.302561e-01 6.578995e-01 1.088108e-01 4.768975e-03
#>  [21] 5.755780e-01 7.600735e-01 3.535534e-01 6.722084e-01 2.805895e-02
#>  [26] 4.963575e-02 2.331945e-01 8.187474e-01 8.779580e-01 8.923338e-02
#>  [31] 9.848984e-04 7.752530e-01 1.714832e-01 3.759178e-01 2.151461e-01
#>  [36] 4.963575e-02 5.226475e-01 5.226475e-01 9.539520e-01 5.490277e-01
#>  [41] 2.604879e-01 1.884523e-01 4.768975e-03 2.331945e-01 6.483495e-02
#>  [46] 1.566886e-02 2.800371e-01 5.623977e-01 9.387480e-01 4.844119e-01
#>  [51] 9.848984e-04 1.233037e-01 7.010672e-01 4.351710e-01 5.755780e-01
#>  [56] 6.865583e-01 6.300325e-01 7.302561e-01 6.300325e-01 8.334952e-01
#>  [61] 1.274972e-02 3.105508e-01 4.963575e-02 1.465801e-01 4.106640e-01
#>  [66] 1.566886e-02 4.844119e-01 1.549427e-01 3.759178e-01 4.844119e-01
#>  [71] 3.224627e-04 8.923338e-02 2.444932e-05 1.973137e-01 9.084993e-01
#>  [76] 8.334952e-01 3.380267e-03 8.779580e-01 2.604879e-01 9.539520e-01
#>  [81] 2.805895e-02 3.426413e-01 1.088108e-01 7.063788e-02 2.331945e-01
#>  [86] 4.351710e-01 4.768975e-03 6.026270e-01 1.233037e-01 3.535534e-01
#>  [91] 7.010672e-01 3.105508e-01 8.923338e-02 4.717728e-01 2.901251e-01
#>  [96] 8.300715e-02 9.848984e-04 9.084993e-01 2.901251e-01 4.351710e-01
#> [101] 7.752530e-01 7.752530e-01 2.151461e-01 1.549427e-01 1.010702e-02
#> [106] 1.973137e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    86   108   180   105   127    39   128   133    78   183    30   171   166 
#> 23.81 18.29 14.82 19.75  3.53 15.59 20.35 14.65 23.88  9.24 17.43 16.57 19.98 
#>   139    36    37    10    56   110   169   177   145   157    49    68    76 
#> 21.49 21.19 12.52 10.53 12.21 17.56 22.41 12.53 10.07 15.10 12.19 20.62 19.22 
#>    79   187    16   184   168   101 171.1 180.1    85  76.1   155 155.1 127.1 
#> 16.23  9.92  8.71 17.77 23.72  9.97 16.57 14.82 16.44 19.22 13.08 13.08  3.53 
#>   123   100   130 169.1  79.1    97 139.1    26   154    25    13 168.1   111 
#> 13.00 16.07 16.47 22.41 16.23 19.14 21.49 15.77 12.63  6.32 14.34 23.72 17.45 
#>   159    96 177.1    43    42  10.1  42.1 183.1   197     6  76.2    45 133.1 
#> 10.55 14.54 12.53 12.10 12.43 10.53 12.43  9.24 21.60 15.64 19.22 17.42 14.65 
#> 139.2  13.1   106 180.2  13.2  86.1 184.1  78.1   181    70 183.2   113  16.1 
#> 21.49 14.34 16.67 14.82 14.34 23.81 17.77 23.88 16.46  7.38  9.24 22.86  8.71 
#> 100.1 127.2  68.1    18 110.1    88  79.2  96.1 169.2  37.1 111.1 157.1 159.1 
#> 16.07  3.53 20.62 15.21 17.56 18.37 16.23 14.54 22.41 12.52 17.45 15.10 10.55 
#>   6.1 184.2    57   125    41 168.2  70.1 125.1  96.2 101.1 101.2   192 106.1 
#> 15.64 17.77 14.46 15.65 18.02 23.72  7.38 15.65 14.54  9.97  9.97 16.44 16.67 
#>    66 181.1   182    47   147   200    80    20 182.1   137   163   141    44 
#> 22.13 16.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    74   162    28   173   142 137.1    46    82   156   109    34    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   198    95   193 200.1  74.1   103    22   152 147.1  11.1   165    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 112.1   131   120     3 135.1   178    53   132  95.1 132.1  34.1    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1    98 162.1   196   151   144   122    94 120.1    27   186 120.2 182.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   161   174 174.1 198.1   146 173.1   116    67  20.1 144.1    54    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148 131.1  22.1  48.1 173.2   191   176   172    72   121  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005012427               0.545997676               0.184949088 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.54496234              0.01209615             -0.32128533 
#>   grade_iii, Cure model 
#>              0.89603200 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 166   19.98      1  48        0         0
#> 108   18.29      1  39        0         1
#> 114   13.68      1  NA        0         0
#> 101    9.97      1  10        0         1
#> 170   19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 45    17.42      1  54        0         1
#> 100   16.07      1  60        0         0
#> 175   21.91      1  43        0         0
#> 100.1 16.07      1  60        0         0
#> 130   16.47      1  53        0         1
#> 25     6.32      1  34        1         0
#> 133   14.65      1  57        0         0
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 110   17.56      1  65        0         1
#> 167   15.55      1  56        1         0
#> 136   21.83      1  43        0         1
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 194   22.40      1  38        0         1
#> 130.1 16.47      1  53        0         1
#> 69    23.23      1  25        0         1
#> 16     8.71      1  71        0         1
#> 29    15.45      1  68        1         0
#> 86    23.81      1  58        0         1
#> 79    16.23      1  54        1         0
#> 175.1 21.91      1  43        0         0
#> 92    22.92      1  47        0         1
#> 150   20.33      1  48        0         0
#> 179   18.63      1  42        0         0
#> 117   17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 107   11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 76    19.22      1  54        0         1
#> 68    20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 125   15.65      1  67        1         0
#> 56    12.21      1  60        0         0
#> 63    22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 149    8.37      1  33        1         0
#> 97    19.14      1  65        0         1
#> 68.1  20.62      1  44        0         0
#> 125.1 15.65      1  67        1         0
#> 52    10.42      1  52        0         1
#> 123   13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 130.2 16.47      1  53        0         1
#> 57    14.46      1  45        0         1
#> 181   16.46      1  45        0         1
#> 97.1  19.14      1  65        0         1
#> 55    19.34      1  69        0         1
#> 15    22.68      1  48        0         0
#> 13.1  14.34      1  54        0         1
#> 111   17.45      1  47        0         1
#> 76.1  19.22      1  54        0         1
#> 69.1  23.23      1  25        0         1
#> 170.1 19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 140   12.68      1  59        1         0
#> 99    21.19      1  38        0         1
#> 177   12.53      1  75        0         0
#> 101.1  9.97      1  10        0         1
#> 40    18.00      1  28        1         0
#> 81.1  14.06      1  34        0         0
#> 97.2  19.14      1  65        0         1
#> 24.1  23.89      1  38        0         0
#> 13.2  14.34      1  54        0         1
#> 68.2  20.62      1  44        0         0
#> 139.1 21.49      1  63        1         0
#> 60.1  13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 60.2  13.15      1  38        1         0
#> 60.3  13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 124    9.73      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 8     18.43      1  32        0         0
#> 56.1  12.21      1  60        0         0
#> 97.3  19.14      1  65        0         1
#> 60.4  13.15      1  38        1         0
#> 177.1 12.53      1  75        0         0
#> 69.2  23.23      1  25        0         1
#> 184.1 17.77      1  38        0         0
#> 106   16.67      1  49        1         0
#> 164   23.60      1  76        0         1
#> 159   10.55      1  50        0         1
#> 93    10.33      1  52        0         1
#> 117.1 17.46      1  26        0         1
#> 81.2  14.06      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 57.1  14.46      1  45        0         1
#> 114.1 13.68      1  NA        0         0
#> 129   23.41      1  53        1         0
#> 15.1  22.68      1  48        0         0
#> 99.1  21.19      1  38        0         1
#> 166.1 19.98      1  48        0         0
#> 76.2  19.22      1  54        0         1
#> 41    18.02      1  40        1         0
#> 8.1   18.43      1  32        0         0
#> 199.1 19.81      1  NA        0         1
#> 177.2 12.53      1  75        0         0
#> 139.2 21.49      1  63        1         0
#> 23    16.92      1  61        0         0
#> 181.1 16.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 191   24.00      0  60        0         1
#> 132   24.00      0  55        0         0
#> 147   24.00      0  76        1         0
#> 17    24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 84    24.00      0  39        0         1
#> 156   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 151   24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 19    24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 47    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 98    24.00      0  34        1         0
#> 112.1 24.00      0  61        0         0
#> 151.1 24.00      0  42        0         0
#> 20.1  24.00      0  46        1         0
#> 156.1 24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 119   24.00      0  17        0         0
#> 172   24.00      0  41        0         0
#> 17.1  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 112.2 24.00      0  61        0         0
#> 191.1 24.00      0  60        0         1
#> 185   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 22.1  24.00      0  52        1         0
#> 102.1 24.00      0  49        0         0
#> 152   24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 120.1 24.00      0  68        0         1
#> 48    24.00      0  31        1         0
#> 22.2  24.00      0  52        1         0
#> 28.1  24.00      0  67        1         0
#> 22.3  24.00      0  52        1         0
#> 119.1 24.00      0  17        0         0
#> 104   24.00      0  50        1         0
#> 82.1  24.00      0  34        0         0
#> 146.1 24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 138.2 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 54    24.00      0  53        1         0
#> 119.2 24.00      0  17        0         0
#> 19.1  24.00      0  57        0         1
#> 20.2  24.00      0  46        1         0
#> 172.1 24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 191.2 24.00      0  60        0         1
#> 53    24.00      0  32        0         1
#> 82.2  24.00      0  34        0         0
#> 31    24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 126   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 28.2  24.00      0  67        1         0
#> 126.1 24.00      0  48        0         0
#> 17.2  24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 22.4  24.00      0  52        1         0
#> 104.1 24.00      0  50        1         0
#> 126.2 24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 54.1  24.00      0  53        1         0
#> 121   24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 112.3 24.00      0  61        0         0
#> 9     24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.545         NA        NA      NA
#> 2 age, Cure model           0.0121        NA        NA      NA
#> 3 grade_ii, Cure model     -0.321         NA        NA      NA
#> 4 grade_iii, Cure model     0.896         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00501        NA        NA      NA
#> 2 grade_ii, Survival model   0.546          NA        NA      NA
#> 3 grade_iii, Survival model  0.185          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.5450            0.0121           -0.3213            0.8960  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 249.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.54496234       0.01209615      -0.32128533       0.89603200 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005012427      0.545997676      0.184949088 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.03912552 0.43079556 0.56610586 0.95896290 0.45031325 0.42079908
#>   [7] 0.65584266 0.73877237 0.28856403 0.73877237 0.67924438 0.99422551
#>  [13] 0.78814802 0.78130458 0.61595445 0.76738215 0.31411520 0.71659452
#>  [19] 0.73143717 0.27520206 0.67924438 0.17582053 0.97671306 0.77438802
#>  [25] 0.08941993 0.72406387 0.28856403 0.21938244 0.41043284 0.54018201
#>  [31] 0.62404493 0.92266099 0.92879478 0.84803412 0.47894033 0.37990867
#>  [37] 0.80844410 0.75326945 0.91038266 0.23442787 0.32690029 0.98258244
#>  [43] 0.50601576 0.37990867 0.75326945 0.94093936 0.87938235 0.64792908
#>  [49] 0.67924438 0.79497187 0.70170313 0.50601576 0.46942316 0.24855240
#>  [55] 0.80844410 0.63996899 0.47894033 0.17582053 0.45031325 0.82828305
#>  [61] 0.88569077 0.35885432 0.89194042 0.95896290 0.58318085 0.82828305
#>  [67] 0.50601576 0.03912552 0.80844410 0.37990867 0.32690029 0.84803412
#>  [73] 0.59973873 0.84803412 0.84803412 0.95299718 0.11461292 0.97081826
#>  [79] 0.54890089 0.91038266 0.50601576 0.84803412 0.89194042 0.17582053
#>  [85] 0.59973873 0.67152722 0.13770025 0.93487784 0.94697904 0.62404493
#>  [91] 0.82828305 0.59152843 0.79497187 0.15818645 0.24855240 0.35885432
#>  [97] 0.43079556 0.47894033 0.57471371 0.54890089 0.89194042 0.32690029
#> [103] 0.66370151 0.70170313 0.98841569 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    24   166   108   101   170   158    45   100   175 100.1   130    25   133 
#> 23.89 19.98 18.29  9.97 19.54 20.14 17.42 16.07 21.91 16.07 16.47  6.32 14.65 
#>    18   110   167   136    85   188   194 130.1    69    16    29    86    79 
#> 15.21 17.56 15.55 21.83 16.44 16.16 22.40 16.47 23.23  8.71 15.45 23.81 16.23 
#> 175.1    92   150   179   117    43   107    60    76    68    13   125    56 
#> 21.91 22.92 20.33 18.63 17.46 12.10 11.18 13.15 19.22 20.62 14.34 15.65 12.21 
#>    63   139   149    97  68.1 125.1    52   123    30 130.2    57   181  97.1 
#> 22.77 21.49  8.37 19.14 20.62 15.65 10.42 13.00 17.43 16.47 14.46 16.46 19.14 
#>    55    15  13.1   111  76.1  69.1 170.1    81   140    99   177 101.1    40 
#> 19.34 22.68 14.34 17.45 19.22 23.23 19.54 14.06 12.68 21.19 12.53  9.97 18.00 
#>  81.1  97.2  24.1  13.2  68.2 139.1  60.1   184  60.2  60.3   145   168   183 
#> 14.06 19.14 23.89 14.34 20.62 21.49 13.15 17.77 13.15 13.15 10.07 23.72  9.24 
#>     8  56.1  97.3  60.4 177.1  69.2 184.1   106   164   159    93 117.1  81.2 
#> 18.43 12.21 19.14 13.15 12.53 23.23 17.77 16.67 23.60 10.55 10.33 17.46 14.06 
#>   134  57.1   129  15.1  99.1 166.1  76.2    41   8.1 177.2 139.2    23 181.1 
#> 17.81 14.46 23.41 22.68 21.19 19.98 19.22 18.02 18.43 12.53 21.49 16.92 16.46 
#>    77   191   132   147    17   146   112    22   109   141   178   162   102 
#>  7.27 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    64    84   156    65   200   151    46    19    72    47    20    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1 151.1  20.1 156.1    71   138    28    82   119   172  17.1   161 112.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1   185 141.1  22.1 102.1   152 138.1   173 120.1    48  22.2  28.1  22.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1   104  82.1 146.1    38 138.2   135    54 119.2  19.1  20.2 172.1 191.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53  82.2    31   182   126  28.2 126.1  17.2   144  22.4 104.1 126.2 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   142  54.1   121  71.1 112.3     9    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005684939               0.366522224               0.269338406 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.208776273            -0.003806256            -0.218432444 
#>   grade_iii, Cure model 
#>             0.688377162 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 106   16.67      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 32    20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 168   23.72      1  70        0         0
#> 96    14.54      1  33        0         1
#> 153   21.33      1  55        1         0
#> 55    19.34      1  69        0         1
#> 140   12.68      1  59        1         0
#> 68    20.62      1  44        0         0
#> 180.1 14.82      1  37        0         0
#> 101    9.97      1  10        0         1
#> 157   15.10      1  47        0         0
#> 168.1 23.72      1  70        0         0
#> 184   17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 76    19.22      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 168.2 23.72      1  70        0         0
#> 129   23.41      1  53        1         0
#> 179.1 18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 155   13.08      1  26        0         0
#> 171   16.57      1  41        0         1
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 130   16.47      1  53        0         1
#> 76.1  19.22      1  54        0         1
#> 168.3 23.72      1  70        0         0
#> 130.1 16.47      1  53        0         1
#> 6.1   15.64      1  39        0         0
#> 18    15.21      1  49        1         0
#> 105   19.75      1  60        0         0
#> 113   22.86      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 159   10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 69    23.23      1  25        0         1
#> 190   20.81      1  42        1         0
#> 85    16.44      1  36        0         0
#> 96.1  14.54      1  33        0         1
#> 114   13.68      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 36    21.19      1  48        0         1
#> 86    23.81      1  58        0         1
#> 70     7.38      1  30        1         0
#> 63    22.77      1  31        1         0
#> 111   17.45      1  47        0         1
#> 92    22.92      1  47        0         1
#> 188.2 16.16      1  46        0         1
#> 180.2 14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 107   11.18      1  54        1         0
#> 8     18.43      1  32        0         0
#> 171.1 16.57      1  41        0         1
#> 85.1  16.44      1  36        0         0
#> 89    11.44      1  NA        0         0
#> 181.1 16.46      1  45        0         1
#> 59.1  10.16      1  NA        1         0
#> 150.2 20.33      1  48        0         0
#> 37    12.52      1  57        1         0
#> 169   22.41      1  46        0         0
#> 114.1 13.68      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 69.1  23.23      1  25        0         1
#> 149    8.37      1  33        1         0
#> 153.2 21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 107.1 11.18      1  54        1         0
#> 139   21.49      1  63        1         0
#> 24    23.89      1  38        0         0
#> 179.2 18.63      1  42        0         0
#> 51    18.23      1  83        0         1
#> 69.2  23.23      1  25        0         1
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 81.1  14.06      1  34        0         0
#> 149.1  8.37      1  33        1         0
#> 157.1 15.10      1  47        0         0
#> 58    19.34      1  39        0         0
#> 77     7.27      1  67        0         1
#> 125   15.65      1  67        1         0
#> 30    17.43      1  78        0         0
#> 190.1 20.81      1  42        1         0
#> 79    16.23      1  54        1         0
#> 42.1  12.43      1  49        0         1
#> 97.1  19.14      1  65        0         1
#> 153.3 21.33      1  55        1         0
#> 114.2 13.68      1  NA        0         0
#> 192   16.44      1  31        1         0
#> 93    10.33      1  52        0         1
#> 96.2  14.54      1  33        0         1
#> 194   22.40      1  38        0         1
#> 91     5.33      1  61        0         1
#> 58.1  19.34      1  39        0         0
#> 194.1 22.40      1  38        0         1
#> 56    12.21      1  60        0         0
#> 45    17.42      1  54        0         1
#> 52    10.42      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 76.2  19.22      1  54        0         1
#> 136   21.83      1  43        0         1
#> 23    16.92      1  61        0         0
#> 113.1 22.86      1  34        0         0
#> 174   24.00      0  49        1         0
#> 103   24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 152.1 24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 148   24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 84    24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 148.1 24.00      0  61        1         0
#> 193.1 24.00      0  45        0         1
#> 9     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 46    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 118   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 172   24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 200   24.00      0  64        0         0
#> 48    24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 161   24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 135   24.00      0  58        1         0
#> 161.1 24.00      0  45        0         0
#> 53    24.00      0  32        0         1
#> 142.1 24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 80.1  24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 132   24.00      0  55        0         0
#> 35.1  24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 80.2  24.00      0  41        0         0
#> 53.1  24.00      0  32        0         1
#> 120   24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 142.2 24.00      0  53        0         0
#> 53.2  24.00      0  32        0         1
#> 118.1 24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 74.1  24.00      0  43        0         1
#> 46.1  24.00      0  71        0         0
#> 193.2 24.00      0  45        0         1
#> 102   24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 7.1   24.00      0  37        1         0
#> 137.1 24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 148.2 24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 115   24.00      0  NA        1         0
#> 84.1  24.00      0  39        0         1
#> 142.3 24.00      0  53        0         0
#> 116.1 24.00      0  58        0         1
#> 132.1 24.00      0  55        0         0
#> 3.1   24.00      0  31        1         0
#> 74.2  24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 3.2   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.209          NA        NA      NA
#> 2 age, Cure model         -0.00381        NA        NA      NA
#> 3 grade_ii, Cure model    -0.218          NA        NA      NA
#> 4 grade_iii, Cure model    0.688          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00568        NA        NA      NA
#> 2 grade_ii, Survival model   0.367          NA        NA      NA
#> 3 grade_iii, Survival model  0.269          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.208776         -0.003806         -0.218432          0.688377  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 254 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.208776273     -0.003806256     -0.218432444      0.688377162 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005684939      0.366522224      0.269338406 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.492065285 0.979463268 0.225704344 0.712705384 0.021120322 0.743104129
#>   [7] 0.181357499 0.308289874 0.804118633 0.252976258 0.712705384 0.928078638
#>  [13] 0.692457817 0.021120322 0.441869678 0.383617555 0.336353116 0.181357499
#>  [19] 0.021120322 0.052058850 0.383617555 0.542150981 0.364504461 0.652038815
#>  [25] 0.793821683 0.502170644 0.612157889 0.612157889 0.522148729 0.336353116
#>  [31] 0.021120322 0.522148729 0.652038815 0.682328906 0.298789658 0.096719883
#>  [37] 0.271429000 0.672186154 0.896977185 0.814411420 0.062436498 0.234980036
#>  [43] 0.562143280 0.743104129 0.271429000 0.124357830 0.216363828 0.011915768
#>  [49] 0.958905214 0.114990041 0.451846927 0.087436711 0.612157889 0.712705384
#>  [55] 0.591948173 0.876372263 0.412378655 0.502170644 0.562143280 0.542150981
#>  [61] 0.271429000 0.824749562 0.133897498 0.262214444 0.062436498 0.938421480
#>  [67] 0.181357499 0.835082085 0.876372263 0.171785786 0.003444318 0.383617555
#>  [73] 0.431936015 0.062436498 0.773397517 0.865993476 0.773397517 0.938421480
#>  [79] 0.692457817 0.308289874 0.969178487 0.641948612 0.461823712 0.234980036
#>  [85] 0.602058231 0.835082085 0.364504461 0.181357499 0.562143280 0.917708437
#>  [91] 0.743104129 0.143596403 0.989727664 0.308289874 0.143596403 0.855623951
#>  [97] 0.471878299 0.907341275 0.412378655 0.336353116 0.162209726 0.481940817
#> [103] 0.096719883 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   106    25    32   180   168    96   153    55   140    68 180.1   101   157 
#> 16.67  6.32 20.90 14.82 23.72 14.54 21.33 19.34 12.68 20.62 14.82  9.97 15.10 
#> 168.1   184   179    76 153.1 168.2   129 179.1   181    97     6   155   171 
#> 23.72 17.77 18.63 19.22 21.33 23.72 23.41 18.63 16.46 19.14 15.64 13.08 16.57 
#>   188 188.1   130  76.1 168.3 130.1   6.1    18   105   113   150   167   159 
#> 16.16 16.16 16.47 19.22 23.72 16.47 15.64 15.21 19.75 22.86 20.33 15.55 10.55 
#>   177    69   190    85  96.1 150.1    15    36    86    70    63   111    92 
#> 12.53 23.23 20.81 16.44 14.54 20.33 22.68 21.19 23.81  7.38 22.77 17.45 22.92 
#> 188.2 180.2     5   107     8 171.1  85.1 181.1 150.2    37   169   128  69.1 
#> 16.16 14.82 16.43 11.18 18.43 16.57 16.44 16.46 20.33 12.52 22.41 20.35 23.23 
#>   149 153.2    42 107.1   139    24 179.2    51  69.2    81    43  81.1 149.1 
#>  8.37 21.33 12.43 11.18 21.49 23.89 18.63 18.23 23.23 14.06 12.10 14.06  8.37 
#> 157.1    58    77   125    30 190.1    79  42.1  97.1 153.3   192    93  96.2 
#> 15.10 19.34  7.27 15.65 17.43 20.81 16.23 12.43 19.14 21.33 16.44 10.33 14.54 
#>   194    91  58.1 194.1    56    45    52   8.1  76.2   136    23 113.1   174 
#> 22.40  5.33 19.34 22.40 12.21 17.42 10.42 18.43 19.22 21.83 16.92 22.86 24.00 
#>   103   143    35   152 152.1    12   148    34    84    74   193 148.1 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   9.1    20    46   142   182   118     3    80   172   198   200    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   196   161   104    28   151   135 161.1    53 142.1    98  80.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132  35.1    27    64  80.2  53.1   120    33   162    38  33.1   141    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   163   131 142.2  53.2 118.1    65    62   147   165    67     7  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1 193.2   102   116   7.1 137.1    47    22     2 148.2    19  84.1 142.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.1 132.1   3.1  74.2    44   3.2   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001931335               0.576393588               0.088380657 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74503621              0.02257081             -0.40393026 
#>   grade_iii, Cure model 
#>              0.01063567 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 99    21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 179   18.63      1  42        0         0
#> 81    14.06      1  34        0         0
#> 154   12.63      1  20        1         0
#> 76    19.22      1  54        0         1
#> 101    9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 15    22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 85    16.44      1  36        0         0
#> 157   15.10      1  47        0         0
#> 183    9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 113   22.86      1  34        0         0
#> 39    15.59      1  37        0         1
#> 113.1 22.86      1  34        0         0
#> 56    12.21      1  60        0         0
#> 92    22.92      1  47        0         1
#> 100   16.07      1  60        0         0
#> 88    18.37      1  47        0         0
#> 81.1  14.06      1  34        0         0
#> 184   17.77      1  38        0         0
#> 127    3.53      1  62        0         1
#> 96    14.54      1  33        0         1
#> 88.1  18.37      1  47        0         0
#> 170   19.54      1  43        0         1
#> 97    19.14      1  65        0         1
#> 170.1 19.54      1  43        0         1
#> 168   23.72      1  70        0         0
#> 179.1 18.63      1  42        0         0
#> 76.1  19.22      1  54        0         1
#> 110   17.56      1  65        0         1
#> 57    14.46      1  45        0         1
#> 56.1  12.21      1  60        0         0
#> 177   12.53      1  75        0         0
#> 14    12.89      1  21        0         0
#> 190   20.81      1  42        1         0
#> 41    18.02      1  40        1         0
#> 187    9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 99.1  21.19      1  38        0         1
#> 8     18.43      1  32        0         0
#> 86    23.81      1  58        0         1
#> 158   20.14      1  74        1         0
#> 66    22.13      1  53        0         0
#> 8.1   18.43      1  32        0         0
#> 85.1  16.44      1  36        0         0
#> 5     16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 14.1  12.89      1  21        0         0
#> 66.1  22.13      1  53        0         0
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 77.1   7.27      1  67        0         1
#> 70     7.38      1  30        1         0
#> 154.1 12.63      1  20        1         0
#> 51    18.23      1  83        0         1
#> 30    17.43      1  78        0         0
#> 107   11.18      1  54        1         0
#> 15.1  22.68      1  48        0         0
#> 128   20.35      1  35        0         1
#> 100.1 16.07      1  60        0         0
#> 43.1  12.10      1  61        0         1
#> 100.2 16.07      1  60        0         0
#> 164   23.60      1  76        0         1
#> 4     17.64      1  NA        0         1
#> 92.1  22.92      1  47        0         1
#> 113.2 22.86      1  34        0         0
#> 110.1 17.56      1  65        0         1
#> 8.2   18.43      1  32        0         0
#> 188   16.16      1  46        0         1
#> 76.2  19.22      1  54        0         1
#> 170.2 19.54      1  43        0         1
#> 56.2  12.21      1  60        0         0
#> 130   16.47      1  53        0         1
#> 81.2  14.06      1  34        0         0
#> 110.2 17.56      1  65        0         1
#> 159   10.55      1  50        0         1
#> 134   17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 134.1 17.81      1  47        1         0
#> 106   16.67      1  49        1         0
#> 106.1 16.67      1  49        1         0
#> 107.1 11.18      1  54        1         0
#> 51.1  18.23      1  83        0         1
#> 166   19.98      1  48        0         0
#> 133   14.65      1  57        0         0
#> 130.1 16.47      1  53        0         1
#> 4.1   17.64      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 171   16.57      1  41        0         1
#> 40    18.00      1  28        1         0
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 57.1  14.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 183.1  9.24      1  67        1         0
#> 97.1  19.14      1  65        0         1
#> 153.1 21.33      1  55        1         0
#> 66.2  22.13      1  53        0         0
#> 86.1  23.81      1  58        0         1
#> 195   11.76      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 78.1  23.88      1  43        0         0
#> 86.2  23.81      1  58        0         1
#> 41.1  18.02      1  40        1         0
#> 119   24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 74    24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 176   24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 152   24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 152.1 24.00      0  36        0         1
#> 19.1  24.00      0  57        0         1
#> 46    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 119.1 24.00      0  17        0         0
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 64.1  24.00      0  43        0         0
#> 112   24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 185.1 24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 176.1 24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 22    24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 27    24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 72.1  24.00      0  40        0         1
#> 19.2  24.00      0  57        0         1
#> 11.1  24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 34    24.00      0  36        0         0
#> 31    24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 21    24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 119.2 24.00      0  17        0         0
#> 142   24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 84.1  24.00      0  39        0         1
#> 147   24.00      0  76        1         0
#> 138.1 24.00      0  44        1         0
#> 119.3 24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 135.1 24.00      0  58        1         0
#> 31.1  24.00      0  36        0         1
#> 64.2  24.00      0  43        0         0
#> 95    24.00      0  68        0         1
#> 27.1  24.00      0  63        1         0
#> 185.2 24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 75.1  24.00      0  21        1         0
#> 48.1  24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 7.1   24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 11.2  24.00      0  42        0         1
#> 176.2 24.00      0  43        0         1
#> 142.1 24.00      0  53        0         0
#> 84.2  24.00      0  39        0         1
#> 116   24.00      0  58        0         1
#> 172.1 24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 65    24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 75.2  24.00      0  21        1         0
#> 182   24.00      0  35        0         0
#> 54    24.00      0  53        1         0
#> 126.1 24.00      0  48        0         0
#> 193   24.00      0  45        0         1
#> 131   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.745         NA        NA      NA
#> 2 age, Cure model           0.0226        NA        NA      NA
#> 3 grade_ii, Cure model     -0.404         NA        NA      NA
#> 4 grade_iii, Cure model     0.0106        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00193        NA        NA      NA
#> 2 grade_ii, Survival model   0.576          NA        NA      NA
#> 3 grade_iii, Survival model  0.0884         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74504           0.02257          -0.40393           0.01064  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 259.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74503621       0.02257081      -0.40393026       0.01063567 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001931335      0.576393588      0.088380657 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.97488511 0.22388945 0.91538170 0.36665096 0.75825795 0.81128212
#>   [7] 0.31974073 0.93259012 0.87221595 0.28218551 0.15318594 0.08223170
#>  [13] 0.61558560 0.71377652 0.94969108 0.09290562 0.12371324 0.69590502
#>  [19] 0.12371324 0.83742089 0.10353100 0.66036611 0.41396890 0.75825795
#>  [25] 0.49841549 0.99160322 0.73160868 0.41396890 0.29181297 0.34770858
#>  [31] 0.29181297 0.05917850 0.36665096 0.31974073 0.50752444 0.74052778
#>  [37] 0.83742089 0.82866895 0.79362584 0.24351591 0.45235693 0.94116586
#>  [43] 0.92400873 0.22388945 0.38567009 0.03155393 0.26303206 0.17377100
#>  [49] 0.38567009 0.61558560 0.63347983 0.01064515 0.79362584 0.17377100
#>  [55] 0.53441597 0.20423809 0.56170433 0.97488511 0.96649571 0.81128212
#>  [61] 0.43313334 0.54353489 0.88958693 0.15318594 0.25327791 0.66036611
#>  [67] 0.87221595 0.66036611 0.07064977 0.10353100 0.12371324 0.50752444
#>  [73] 0.38567009 0.65142919 0.31974073 0.29181297 0.83742089 0.59772627
#>  [79] 0.75825795 0.50752444 0.90675565 0.48038716 0.70487582 0.48038716
#>  [85] 0.57088036 0.57088036 0.88958693 0.43313334 0.27259387 0.72268687
#>  [91] 0.59772627 0.68693224 0.58873267 0.47106606 0.64249233 0.86349185
#>  [97] 0.74052778 0.78475594 0.94969108 0.34770858 0.20423809 0.17377100
#> [103] 0.03155393 0.54353489 0.01064515 0.03155393 0.45235693 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    77    99    93   179    81   154    76   101    43   105    15   129    85 
#>  7.27 21.19 10.33 18.63 14.06 12.63 19.22  9.97 12.10 19.75 22.68 23.41 16.44 
#>   157   183    69   113    39 113.1    56    92   100    88  81.1   184   127 
#> 15.10  9.24 23.23 22.86 15.59 22.86 12.21 22.92 16.07 18.37 14.06 17.77  3.53 
#>    96  88.1   170    97 170.1   168 179.1  76.1   110    57  56.1   177    14 
#> 14.54 18.37 19.54 19.14 19.54 23.72 18.63 19.22 17.56 14.46 12.21 12.53 12.89 
#>   190    41   187   145  99.1     8    86   158    66   8.1  85.1     5    78 
#> 20.81 18.02  9.92 10.07 21.19 18.43 23.81 20.14 22.13 18.43 16.44 16.43 23.88 
#>  14.1  66.1   111   153    23  77.1    70 154.1    51    30   107  15.1   128 
#> 12.89 22.13 17.45 21.33 16.92  7.27  7.38 12.63 18.23 17.43 11.18 22.68 20.35 
#> 100.1  43.1 100.2   164  92.1 113.2 110.1   8.2   188  76.2 170.2  56.2   130 
#> 16.07 12.10 16.07 23.60 22.92 22.86 17.56 18.43 16.16 19.22 19.54 12.21 16.47 
#>  81.2 110.2   159   134    18 134.1   106 106.1 107.1  51.1   166   133 130.1 
#> 14.06 17.56 10.55 17.81 15.21 17.81 16.67 16.67 11.18 18.23 19.98 14.65 16.47 
#>    26   171    40    79    49  57.1   123 183.1  97.1 153.1  66.2  86.1  30.1 
#> 15.77 16.57 18.00 16.23 12.19 14.46 13.00  9.24 19.14 21.33 22.13 23.81 17.43 
#>  78.1  86.2  41.1   119   144   138    84    19   132    74    62     7   176 
#> 23.88 23.81 18.02 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   152   185   173 152.1  19.1    46    64 119.1     9    75     1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198  64.1   112   102   178 185.1 176.1    11    22   186 198.1    27   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1  19.2  11.1    80    34    31    48    83    21   126   141    20 119.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   137   172    94  84.1   147 138.1 119.3   156 135.1  31.1  64.2    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1 185.2  46.1  75.1  48.1   161   7.1    12  11.2 176.2 142.1  84.2   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1   143   122     2    65    53  75.2   182    54 126.1   193   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01134954                0.37358969                0.12828859 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.3713074986           -0.0009821155            0.2458462510 
#>   grade_iii, Cure model 
#>            1.6236263243 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 192   16.44      1  31        1         0
#> 99    21.19      1  38        0         1
#> 145   10.07      1  65        1         0
#> 36    21.19      1  48        0         1
#> 175   21.91      1  43        0         0
#> 16     8.71      1  71        0         1
#> 117   17.46      1  26        0         1
#> 134   17.81      1  47        1         0
#> 25     6.32      1  34        1         0
#> 57    14.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 6     15.64      1  39        0         0
#> 99.1  21.19      1  38        0         1
#> 52    10.42      1  52        0         1
#> 39    15.59      1  37        0         1
#> 55    19.34      1  69        0         1
#> 25.1   6.32      1  34        1         0
#> 61    10.12      1  36        0         1
#> 6.1   15.64      1  39        0         0
#> 183    9.24      1  67        1         0
#> 90    20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 169   22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 99.2  21.19      1  38        0         1
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 69    23.23      1  25        0         1
#> 32    20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 175.1 21.91      1  43        0         0
#> 153.1 21.33      1  55        1         0
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 99.3  21.19      1  38        0         1
#> 155   13.08      1  26        0         0
#> 57.1  14.46      1  45        0         1
#> 192.1 16.44      1  31        1         0
#> 39.1  15.59      1  37        0         1
#> 93    10.33      1  52        0         1
#> 150   20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 77.1   7.27      1  67        0         1
#> 145.1 10.07      1  65        1         0
#> 32.1  20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 113.1 22.86      1  34        0         0
#> 177   12.53      1  75        0         0
#> 86    23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 36.1  21.19      1  48        0         1
#> 100   16.07      1  60        0         0
#> 167   15.55      1  56        1         0
#> 16.1   8.71      1  71        0         1
#> 40    18.00      1  28        1         0
#> 166   19.98      1  48        0         0
#> 105   19.75      1  60        0         0
#> 68    20.62      1  44        0         0
#> 57.2  14.46      1  45        0         1
#> 76    19.22      1  54        0         1
#> 189.1 10.51      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 69.1  23.23      1  25        0         1
#> 175.2 21.91      1  43        0         0
#> 85    16.44      1  36        0         0
#> 93.1  10.33      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 123   13.00      1  44        1         0
#> 106   16.67      1  49        1         0
#> 29    15.45      1  68        1         0
#> 40.1  18.00      1  28        1         0
#> 63    22.77      1  31        1         0
#> 57.3  14.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 77.2   7.27      1  67        0         1
#> 139   21.49      1  63        1         0
#> 129   23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 97    19.14      1  65        0         1
#> 76.1  19.22      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 155.1 13.08      1  26        0         0
#> 107.1 11.18      1  54        1         0
#> 58    19.34      1  39        0         0
#> 184   17.77      1  38        0         0
#> 91.1   5.33      1  61        0         1
#> 150.1 20.33      1  48        0         0
#> 40.2  18.00      1  28        1         0
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 51.1  18.23      1  83        0         1
#> 88.1  18.37      1  47        0         0
#> 39.2  15.59      1  37        0         1
#> 32.2  20.90      1  37        1         0
#> 10    10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 199.1 19.81      1  NA        0         1
#> 97.1  19.14      1  65        0         1
#> 24    23.89      1  38        0         0
#> 181   16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 136.1 21.83      1  43        0         1
#> 184.1 17.77      1  38        0         0
#> 118   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 3     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 53    24.00      0  32        0         1
#> 62    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 82    24.00      0  34        0         0
#> 12.1  24.00      0  63        0         0
#> 35    24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 94    24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 12.2  24.00      0  63        0         0
#> 27    24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 126   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 161   24.00      0  45        0         0
#> 196   24.00      0  19        0         0
#> 27.1  24.00      0  63        1         0
#> 196.1 24.00      0  19        0         0
#> 62.1  24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 62.2  24.00      0  71        0         0
#> 38.1  24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 146   24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 47.1  24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 7.1   24.00      0  37        1         0
#> 109   24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 98.1  24.00      0  34        1         0
#> 121   24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 38.2  24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 54.1  24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 109.1 24.00      0  48        0         0
#> 132.1 24.00      0  55        0         0
#> 119.1 24.00      0  17        0         0
#> 173   24.00      0  19        0         1
#> 135   24.00      0  58        1         0
#> 162   24.00      0  51        0         0
#> 131.1 24.00      0  66        0         0
#> 196.2 24.00      0  19        0         0
#> 94.1  24.00      0  51        0         1
#> 122.1 24.00      0  66        0         0
#> 62.3  24.00      0  71        0         0
#> 75.1  24.00      0  21        1         0
#> 143.1 24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 95.1  24.00      0  68        0         1
#> 185.1 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 109.2 24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 173.1 24.00      0  19        0         1
#> 9     24.00      0  31        1         0
#> 132.2 24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 135.1 24.00      0  58        1         0
#> 35.1  24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.371           NA        NA      NA
#> 2 age, Cure model         -0.000982        NA        NA      NA
#> 3 grade_ii, Cure model     0.246           NA        NA      NA
#> 4 grade_iii, Cure model    1.62            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0113        NA        NA      NA
#> 2 grade_ii, Survival model    0.374         NA        NA      NA
#> 3 grade_iii, Survival model   0.128         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.3713075        -0.0009821         0.2458463         1.6236263  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 243 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.3713074986    -0.0009821155     0.2458462510     1.6236263243 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01134954       0.37358969       0.12828859 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.76139986 0.44646983 0.93217990 0.44646983 0.34684479 0.95234971
#>   [7] 0.71551538 0.69516161 0.97648910 0.83401425 0.63001256 0.42451074
#>  [13] 0.28468627 0.38673716 0.78615817 0.44646983 0.90604947 0.79838397
#>  [19] 0.58234613 0.97648910 0.92698382 0.78615817 0.94735960 0.50270638
#>  [25] 0.87348478 0.33187697 0.96214560 0.44646983 0.16324016 0.72895332
#>  [31] 0.99533471 0.21291834 0.51235852 0.25118769 0.34684479 0.42451074
#>  [37] 0.72226367 0.65273058 0.44646983 0.85656707 0.83401425 0.76139986
#>  [43] 0.79838397 0.91657947 0.54791418 0.74859531 0.96214560 0.93217990
#>  [49] 0.51235852 0.28468627 0.87903662 0.12489701 0.82817525 0.44646983
#>  [55] 0.77996750 0.81635212 0.95234971 0.67450372 0.56522158 0.57384618
#>  [61] 0.53898517 0.83401425 0.59873647 0.90604947 0.21291834 0.34684479
#>  [67] 0.76139986 0.91657947 0.25118769 0.86786730 0.73557622 0.82230923
#>  [73] 0.67450372 0.31643183 0.83401425 0.88454178 0.96214560 0.41228866
#>  [79] 0.19071448 0.98596917 0.61464841 0.59873647 0.89001372 0.85656707
#>  [85] 0.89001372 0.58234613 0.70201565 0.98596917 0.54791418 0.67450372
#>  [91] 0.63770074 0.66022247 0.66022247 0.63770074 0.79838397 0.51235852
#>  [97] 0.90070357 0.74210890 0.61464841 0.06522313 0.75502187 0.94231346
#> [103] 0.38673716 0.70201565 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   192    99   145    36   175    16   117   134    25    57     8   153   113 
#> 16.44 21.19 10.07 21.19 21.91  8.71 17.46 17.81  6.32 14.46 18.43 21.33 22.86 
#>   136     6  99.1    52    39    55  25.1    61   6.1   183    90   140   169 
#> 21.83 15.64 21.19 10.42 15.59 19.34  6.32 10.12 15.64  9.24 20.94 12.68 22.41 
#>    77  99.2   164    45   127    69    32    92 175.1 153.1   111   108  99.3 
#>  7.27 21.19 23.60 17.42  3.53 23.23 20.90 22.92 21.91 21.33 17.45 18.29 21.19 
#>   155  57.1 192.1  39.1    93   150   130  77.1 145.1  32.1 113.1   177    86 
#> 13.08 14.46 16.44 15.59 10.33 20.33 16.47  7.27 10.07 20.90 22.86 12.53 23.81 
#>    96  36.1   100   167  16.1    40   166   105    68  57.2    76  52.1  69.1 
#> 14.54 21.19 16.07 15.55  8.71 18.00 19.98 19.75 20.62 14.46 19.22 10.42 23.23 
#> 175.2    85  93.1  92.1   123   106    29  40.1    63  57.3    56  77.2   139 
#> 21.91 16.44 10.33 22.92 13.00 16.67 15.45 18.00 22.77 14.46 12.21  7.27 21.49 
#>   129    91    97  76.1   107 155.1 107.1    58   184  91.1 150.1  40.2    88 
#> 23.41  5.33 19.14 19.22 11.18 13.08 11.18 19.34 17.77  5.33 20.33 18.00 18.37 
#>    51  51.1  88.1  39.2  32.2    10   171  97.1    24   181   187 136.1 184.1 
#> 18.23 18.23 18.37 15.59 20.90 10.53 16.57 19.14 23.89 16.46  9.92 21.83 17.77 
#>   118     7     3    47    53    62    38    12    82  12.1    35 118.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    94   172    98  12.2    27    87   186   151   126    75   161   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1 196.1  62.1   143  62.2  38.1    20   146   120  47.1    95   165    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   7.1   109    54  98.1   121    31    34   131   148  38.2   160    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  54.1   132   119   178   122    48   103    21 109.1 132.1 119.1   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   162 131.1 196.2  94.1 122.1  62.3  75.1 143.1   185    84  95.1 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 109.2    11 173.1     9 132.2   191 135.1  35.1  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009261564               0.352832931               0.103074151 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.68816490              0.01709207             -0.19573155 
#>   grade_iii, Cure model 
#>              0.59847826 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 175   21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 18    15.21      1  49        1         0
#> 29    15.45      1  68        1         0
#> 88    18.37      1  47        0         0
#> 16     8.71      1  71        0         1
#> 52    10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 39    15.59      1  37        0         1
#> 14    12.89      1  21        0         0
#> 180   14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 127    3.53      1  62        0         1
#> 70     7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 190   20.81      1  42        1         0
#> 23    16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 183    9.24      1  67        1         0
#> 63    22.77      1  31        1         0
#> 59    10.16      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 164   23.60      1  76        0         1
#> 133   14.65      1  57        0         0
#> 105   19.75      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 5     16.43      1  51        0         1
#> 69    23.23      1  25        0         1
#> 125   15.65      1  67        1         0
#> 113   22.86      1  34        0         0
#> 128   20.35      1  35        0         1
#> 167   15.55      1  56        1         0
#> 155   13.08      1  26        0         0
#> 183.1  9.24      1  67        1         0
#> 43    12.10      1  61        0         1
#> 106   16.67      1  49        1         0
#> 10    10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 90    20.94      1  50        0         1
#> 106.1 16.67      1  49        1         0
#> 168   23.72      1  70        0         0
#> 50    10.02      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 128.1 20.35      1  35        0         1
#> 164.1 23.60      1  76        0         1
#> 49    12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 18.1  15.21      1  49        1         0
#> 90.1  20.94      1  50        0         1
#> 159   10.55      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 89.1  11.44      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 89.2  11.44      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 16.1   8.71      1  71        0         1
#> 13    14.34      1  54        0         1
#> 100   16.07      1  60        0         0
#> 51    18.23      1  83        0         1
#> 99    21.19      1  38        0         1
#> 37    12.52      1  57        1         0
#> 101    9.97      1  10        0         1
#> 175.2 21.91      1  43        0         0
#> 25     6.32      1  34        1         0
#> 18.2  15.21      1  49        1         0
#> 30    17.43      1  78        0         0
#> 195   11.76      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 90.2  20.94      1  50        0         1
#> 56    12.21      1  60        0         0
#> 8     18.43      1  32        0         0
#> 110   17.56      1  65        0         1
#> 166   19.98      1  48        0         0
#> 136.1 21.83      1  43        0         1
#> 175.3 21.91      1  43        0         0
#> 52.1  10.42      1  52        0         1
#> 25.1   6.32      1  34        1         0
#> 125.1 15.65      1  67        1         0
#> 97    19.14      1  65        0         1
#> 155.1 13.08      1  26        0         0
#> 100.1 16.07      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 78    23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 129.2 23.41      1  53        1         0
#> 169   22.41      1  46        0         0
#> 150   20.33      1  48        0         0
#> 195.1 11.76      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 100.2 16.07      1  60        0         0
#> 149    8.37      1  33        1         0
#> 76    19.22      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 88.1  18.37      1  47        0         0
#> 136.2 21.83      1  43        0         1
#> 14.1  12.89      1  21        0         0
#> 106.2 16.67      1  49        1         0
#> 125.2 15.65      1  67        1         0
#> 81.2  14.06      1  34        0         0
#> 26    15.77      1  49        0         1
#> 190.1 20.81      1  42        1         0
#> 96    14.54      1  33        0         1
#> 123   13.00      1  44        1         0
#> 26.1  15.77      1  49        0         1
#> 76.1  19.22      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 3     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 186.1 24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 198   24.00      0  66        0         1
#> 191   24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 64    24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 115.1 24.00      0  NA        1         0
#> 44.1  24.00      0  56        0         0
#> 83    24.00      0   6        0         0
#> 2     24.00      0   9        0         0
#> 172.1 24.00      0  41        0         0
#> 191.1 24.00      0  60        0         1
#> 104   24.00      0  50        1         0
#> 64.1  24.00      0  43        0         0
#> 1     24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 87.1  24.00      0  27        0         0
#> 64.2  24.00      0  43        0         0
#> 94    24.00      0  51        0         1
#> 1.1   24.00      0  23        1         0
#> 22.1  24.00      0  52        1         0
#> 152.1 24.00      0  36        0         1
#> 186.2 24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 148   24.00      0  61        1         0
#> 35    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 1.2   24.00      0  23        1         0
#> 186.3 24.00      0  45        1         0
#> 84.1  24.00      0  39        0         1
#> 156   24.00      0  50        1         0
#> 163.1 24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 186.4 24.00      0  45        1         0
#> 3.1   24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 73.1  24.00      0  NA        0         1
#> 54    24.00      0  53        1         0
#> 118.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 44.2  24.00      0  56        0         0
#> 65.1  24.00      0  57        1         0
#> 84.2  24.00      0  39        0         1
#> 47    24.00      0  38        0         1
#> 1.3   24.00      0  23        1         0
#> 67    24.00      0  25        0         0
#> 147   24.00      0  76        1         0
#> 152.2 24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 1.4   24.00      0  23        1         0
#> 193.2 24.00      0  45        0         1
#> 163.2 24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 73.2  24.00      0  NA        0         1
#> 47.1  24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 132.1 24.00      0  55        0         0
#> 143   24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.688         NA        NA      NA
#> 2 age, Cure model           0.0171        NA        NA      NA
#> 3 grade_ii, Cure model     -0.196         NA        NA      NA
#> 4 grade_iii, Cure model     0.598         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00926        NA        NA      NA
#> 2 grade_ii, Survival model   0.353          NA        NA      NA
#> 3 grade_iii, Survival model  0.103          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.68816           0.01709          -0.19573           0.59848  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    256.9 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.68816490       0.01709207      -0.19573155       0.59847826 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009261564      0.352832931      0.103074151 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0772007644 0.1029930339 0.5288108722 0.5176341631 0.2724133760
#>   [6] 0.8980171669 0.8102521747 0.6074971128 0.0240535778 0.4954340871
#>  [11] 0.7009640377 0.5731456148 0.0027156438 0.8350676542 0.9871560625
#>  [16] 0.9363353043 0.8476282275 0.1622114232 0.3297017538 0.3895471970
#>  [21] 0.8728298136 0.0583964224 0.9363353043 0.0134984337 0.5845215491
#>  [26] 0.2277813792 0.0772007644 0.7247051639 0.3998511014 0.0394130809
#>  [31] 0.4630785160 0.0518436550 0.1860492952 0.5065155370 0.6654883044
#>  [36] 0.8728298136 0.7732626050 0.3397265177 0.7978684274 0.3691665340
#>  [41] 0.1393344055 0.3397265177 0.0057949134 0.3100669953 0.1860492952
#>  [46] 0.0134984337 0.7610604678 0.3793200037 0.5288108722 0.1393344055
#>  [51] 0.7855363880 0.0455079647 0.1779005984 0.1240744281 0.8980171669
#>  [56] 0.6190642030 0.4102376567 0.2908791148 0.1316556600 0.7367743897
#>  [61] 0.8602299892 0.0772007644 0.9617586434 0.5288108722 0.3198068583
#>  [66] 0.6307025592 0.1393344055 0.7488754562 0.2632419837 0.3004128715
#>  [71] 0.2191643623 0.1029930339 0.0772007644 0.8102521747 0.9617586434
#>  [76] 0.4630785160 0.2541518451 0.6654883044 0.4102376567 0.0240535778
#>  [81] 0.0006125142 0.2106672727 0.0240535778 0.0706013981 0.2022660736
#>  [86] 0.6307025592 0.5618348205 0.4102376567 0.9235088728 0.2365396729
#>  [91] 0.0057949134 0.2724133760 0.1029930339 0.7009640377 0.3397265177
#>  [96] 0.4630785160 0.6307025592 0.4416059544 0.1622114232 0.5959890276
#> [101] 0.6890631173 0.4416059544 0.2365396729 0.0583964224 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>   175   136    18    29    88    16    52    57   129    39    14   180    86 
#> 21.91 21.83 15.21 15.45 18.37  8.71 10.42 14.46 23.41 15.59 12.89 14.82 23.81 
#>    93   127    70   145   190    23    85   183    63  70.1   164   133   105 
#> 10.33  3.53  7.38 10.07 20.81 16.92 16.44  9.24 22.77  7.38 23.60 14.65 19.75 
#> 175.1   177     5    69   125   113   128   167   155 183.1    43   106    10 
#> 21.91 12.53 16.43 23.23 15.65 22.86 20.35 15.55 13.08  9.24 12.10 16.67 10.53 
#>   171    90 106.1   168   111 128.1 164.1    49   181  18.1  90.1   159    92 
#> 16.57 20.94 16.67 23.72 17.45 20.35 23.60 12.19 16.46 15.21 20.94 10.55 22.92 
#>    68   197  16.1    13   100    51    99    37   101 175.2    25  18.2    30 
#> 20.62 21.60  8.71 14.34 16.07 18.23 21.19 12.52  9.97 21.91  6.32 15.21 17.43 
#>    81  90.2    56     8   110   166 136.1 175.3  52.1  25.1 125.1    97 155.1 
#> 14.06 20.94 12.21 18.43 17.56 19.98 21.83 21.91 10.42  6.32 15.65 19.14 13.08 
#> 100.1 129.1    78   158 129.2   169   150  81.1   157 100.2   149    76 168.1 
#> 16.07 23.41 23.88 20.14 23.41 22.41 20.33 14.06 15.10 16.07  8.37 19.22 23.72 
#>  88.1 136.2  14.1 106.2 125.2  81.2    26 190.1    96   123  26.1  76.1  63.1 
#> 18.37 21.83 12.89 16.67 15.65 14.06 15.77 20.81 14.54 13.00 15.77 19.22 22.77 
#>     3   142   152    48   186    44   196   118   109    87 186.1    28    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   198   191    65   112    71    22   172    82    64   121    11  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83     2 172.1 191.1   104  64.1     1   193   174  87.1  64.2    94   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1 152.1 186.2    20   148    35   163   1.2 186.3  84.1   156 163.1   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.4   3.1 193.1    54 118.1   132  44.2  65.1  84.2    47   1.3    67   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.2   137   1.4 193.2 163.2   178  47.1   120 120.1   146 132.1   143 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21    38  35.1   126   122 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003979853               0.183829783              -0.034707325 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.245597868            -0.006829658            -0.324654688 
#>   grade_iii, Cure model 
#>             1.000248642 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 90    20.94      1  50        0         1
#> 136   21.83      1  43        0         1
#> 166   19.98      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 194   22.40      1  38        0         1
#> 52    10.42      1  52        0         1
#> 139   21.49      1  63        1         0
#> 175.1 21.91      1  43        0         0
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 77     7.27      1  67        0         1
#> 60    13.15      1  38        1         0
#> 36    21.19      1  48        0         1
#> 166.1 19.98      1  48        0         0
#> 5     16.43      1  51        0         1
#> 170   19.54      1  43        0         1
#> 70     7.38      1  30        1         0
#> 85    16.44      1  36        0         0
#> 100   16.07      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 114.1 13.68      1  NA        0         0
#> 136.1 21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 111   17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 39    15.59      1  37        0         1
#> 42    12.43      1  49        0         1
#> 180   14.82      1  37        0         0
#> 93    10.33      1  52        0         1
#> 42.1  12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 86.1  23.81      1  58        0         1
#> 4.1   17.64      1  NA        0         1
#> 55    19.34      1  69        0         1
#> 86.2  23.81      1  58        0         1
#> 8     18.43      1  32        0         0
#> 68    20.62      1  44        0         0
#> 78    23.88      1  43        0         0
#> 45    17.42      1  54        0         1
#> 157   15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 159.1 10.55      1  50        0         1
#> 158   20.14      1  74        1         0
#> 175.2 21.91      1  43        0         0
#> 69    23.23      1  25        0         1
#> 157.1 15.10      1  47        0         0
#> 106   16.67      1  49        1         0
#> 16     8.71      1  71        0         1
#> 170.1 19.54      1  43        0         1
#> 26    15.77      1  49        0         1
#> 14    12.89      1  21        0         0
#> 60.1  13.15      1  38        1         0
#> 157.2 15.10      1  47        0         0
#> 99    21.19      1  38        0         1
#> 101    9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 85.1  16.44      1  36        0         0
#> 195   11.76      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 175.3 21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 184   17.77      1  38        0         0
#> 157.3 15.10      1  47        0         0
#> 136.2 21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 189   10.51      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 184.1 17.77      1  38        0         0
#> 149    8.37      1  33        1         0
#> 199.1 19.81      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 113   22.86      1  34        0         0
#> 190   20.81      1  42        1         0
#> 180.1 14.82      1  37        0         0
#> 29.1  15.45      1  68        1         0
#> 190.1 20.81      1  42        1         0
#> 52.1  10.42      1  52        0         1
#> 106.1 16.67      1  49        1         0
#> 130   16.47      1  53        0         1
#> 90.1  20.94      1  50        0         1
#> 130.1 16.47      1  53        0         1
#> 130.2 16.47      1  53        0         1
#> 166.2 19.98      1  48        0         0
#> 157.4 15.10      1  47        0         0
#> 101.1  9.97      1  10        0         1
#> 170.2 19.54      1  43        0         1
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 50    10.02      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 49.1  12.19      1  48        1         0
#> 70.1   7.38      1  30        1         0
#> 110   17.56      1  65        0         1
#> 69.1  23.23      1  25        0         1
#> 59.1  10.16      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 8.1   18.43      1  32        0         0
#> 111.2 17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 50.1  10.02      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 150.1 20.33      1  48        0         0
#> 105   19.75      1  60        0         0
#> 72    24.00      0  40        0         1
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 35    24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 104   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 146   24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 165   24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 156   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 193   24.00      0  45        0         1
#> 165.1 24.00      0  47        0         0
#> 54.1  24.00      0  53        1         0
#> 103   24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 54.2  24.00      0  53        1         0
#> 193.1 24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 22    24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 104.1 24.00      0  50        1         0
#> 103.1 24.00      0  56        1         0
#> 80    24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 62    24.00      0  71        0         0
#> 80.1  24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 80.2  24.00      0  41        0         0
#> 146.2 24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 119   24.00      0  17        0         0
#> 165.2 24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 84    24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 64    24.00      0  43        0         0
#> 142.1 24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 144.1 24.00      0  28        0         1
#> 80.3  24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 2.1   24.00      0   9        0         0
#> 27    24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 137.1 24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 94    24.00      0  51        0         1
#> 80.4  24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 103.2 24.00      0  56        1         0
#> 163.2 24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 172.1 24.00      0  41        0         0
#> 156.1 24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 19.1  24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 73.1  24.00      0  NA        0         1
#> 161   24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 102.1 24.00      0  49        0         0
#> 48    24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 156.2 24.00      0  50        1         0
#> 28.1  24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 156.3 24.00      0  50        1         0
#> 2.2   24.00      0   9        0         0
#> 165.3 24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.246          NA        NA      NA
#> 2 age, Cure model         -0.00683        NA        NA      NA
#> 3 grade_ii, Cure model    -0.325          NA        NA      NA
#> 4 grade_iii, Cure model    1.00           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00398        NA        NA      NA
#> 2 grade_ii, Survival model   0.184          NA        NA      NA
#> 3 grade_iii, Survival model -0.0347         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.24560          -0.00683          -0.32465           1.00025  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 242.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.245597868     -0.006829658     -0.324654688      1.000248642 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003979853      0.183829783     -0.034707325 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.861426592 0.061521211 0.078526004 0.235901186 0.179677953 0.109585506
#>   [7] 0.264570960 0.424328909 0.069935390 0.872897097 0.143957799 0.078526004
#>  [13] 0.029578680 0.011388205 0.976702624 0.725874831 0.153070437 0.264570960
#>  [19] 0.561252881 0.303087428 0.953648062 0.539772914 0.572142153 0.153070437
#>  [25] 0.109585506 0.770830809 0.434747127 0.134882515 0.605056323 0.793436405
#>  [31] 0.692268489 0.895815862 0.793436405 0.838676405 0.011388205 0.332427539
#>  [37] 0.011388205 0.342592344 0.226356537 0.003476162 0.465691454 0.638038525
#>  [43] 0.714590884 0.838676405 0.254866440 0.078526004 0.037712349 0.638038525
#>  [49] 0.486952924 0.930407146 0.303087428 0.583075633 0.759530924 0.725874831
#>  [55] 0.638038525 0.153070437 0.907381461 0.748244504 0.539772914 0.362761657
#>  [61] 0.078526004 0.782112530 0.393561956 0.638038525 0.109585506 0.373039985
#>  [67] 0.816054135 0.393561956 0.942031466 0.616094693 0.053036668 0.207792831
#>  [73] 0.692268489 0.616094693 0.207792831 0.872897097 0.486952924 0.508042641
#>  [79] 0.179677953 0.508042641 0.508042641 0.264570960 0.638038525 0.907381461
#>  [85] 0.303087428 0.383311273 0.476296613 0.434747127 0.816054135 0.953648062
#>  [91] 0.413943610 0.037712349 0.198279819 0.342592344 0.434747127 0.594051360
#>  [97] 0.988334678 0.235901186 0.293159317 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    10    63   175   150    90   136   166   117   194    52   139 175.1   129 
#> 10.53 22.77 21.91 20.33 20.94 21.83 19.98 17.46 22.40 10.42 21.49 21.91 23.41 
#>    86    77    60    36 166.1     5   170    70    85   100  36.1 136.1   154 
#> 23.81  7.27 13.15 21.19 19.98 16.43 19.54  7.38 16.44 16.07 21.19 21.83 12.63 
#>   111   197    39    42   180    93  42.1   159  86.1    55  86.2     8    68 
#> 17.45 21.60 15.59 12.43 14.82 10.33 12.43 10.55 23.81 19.34 23.81 18.43 20.62 
#>    78    45   157    57 159.1   158 175.2    69 157.1   106    16 170.1    26 
#> 23.88 17.42 15.10 14.46 10.55 20.14 21.91 23.23 15.10 16.67  8.71 19.54 15.77 
#>    14  60.1 157.2    99   101   155  85.1    88 175.3   177   184 157.3 136.2 
#> 12.89 13.15 15.10 21.19  9.97 13.08 16.44 18.37 21.91 12.53 17.77 15.10 21.83 
#>    41    49 184.1   149    29   113   190 180.1  29.1 190.1  52.1 106.1   130 
#> 18.02 12.19 17.77  8.37 15.45 22.86 20.81 14.82 15.45 20.81 10.42 16.67 16.47 
#>  90.1 130.1 130.2 166.2 157.4 101.1 170.2    40    23 111.1  49.1  70.1   110 
#> 20.94 16.47 16.47 19.98 15.10  9.97 19.54 18.00 16.92 17.45 12.19  7.38 17.56 
#>  69.1    32   8.1 111.2     6    91 150.1   105    72    95   185    21   200 
#> 23.23 20.90 18.43 17.45 15.64  5.33 20.33 19.75 24.00 24.00 24.00 24.00 24.00 
#>    35   144   104    54   146    19   165    28   156   137   120   102   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  54.1   103   172  54.2 193.1    98   178    22   173 104.1 103.1    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1   163 163.1     2    62  80.1    33  80.2 146.2  72.1    53   119 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    84   131   142  12.1    75    64 142.1  75.1 144.1  80.3   116   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    38    87 137.1    94  80.4 185.1 103.2 163.2    65   152 172.1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135  19.1     7   161    44 102.1    48  22.1   162 156.2  28.1    74    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.3   2.2 165.3 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009733158               0.269964016               0.087720067 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18940193              0.03094427             -0.70635092 
#>   grade_iii, Cure model 
#>              0.88913897 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 78    23.88      1  43        0         0
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 177   12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 197   21.60      1  69        1         0
#> 5     16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 177.1 12.53      1  75        0         0
#> 49    12.19      1  48        1         0
#> 168   23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 56    12.21      1  60        0         0
#> 111   17.45      1  47        0         1
#> 117   17.46      1  26        0         1
#> 133   14.65      1  57        0         0
#> 153   21.33      1  55        1         0
#> 157   15.10      1  47        0         0
#> 86    23.81      1  58        0         1
#> 63    22.77      1  31        1         0
#> 13    14.34      1  54        0         1
#> 81    14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 100   16.07      1  60        0         0
#> 195.1 11.76      1  NA        1         0
#> 177.2 12.53      1  75        0         0
#> 25     6.32      1  34        1         0
#> 107   11.18      1  54        1         0
#> 91     5.33      1  61        0         1
#> 187    9.92      1  39        1         0
#> 14    12.89      1  21        0         0
#> 92.1  22.92      1  47        0         1
#> 111.1 17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 101    9.97      1  10        0         1
#> 179   18.63      1  42        0         0
#> 45    17.42      1  54        0         1
#> 68    20.62      1  44        0         0
#> 15    22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 42    12.43      1  49        0         1
#> 145   10.07      1  65        1         0
#> 37    12.52      1  57        1         0
#> 181   16.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 30    17.43      1  78        0         0
#> 195.2 11.76      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 177.3 12.53      1  75        0         0
#> 52    10.42      1  52        0         1
#> 40    18.00      1  28        1         0
#> 37.1  12.52      1  57        1         0
#> 180   14.82      1  37        0         0
#> 29    15.45      1  68        1         0
#> 90    20.94      1  50        0         1
#> 127    3.53      1  62        0         1
#> 164   23.60      1  76        0         1
#> 8     18.43      1  32        0         0
#> 157.1 15.10      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 50    10.02      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 145.1 10.07      1  65        1         0
#> 29.1  15.45      1  68        1         0
#> 78.1  23.88      1  43        0         0
#> 187.1  9.92      1  39        1         0
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 169   22.41      1  46        0         0
#> 5.1   16.43      1  51        0         1
#> 91.1   5.33      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 70     7.38      1  30        1         0
#> 42.1  12.43      1  49        0         1
#> 10    10.53      1  34        0         0
#> 166   19.98      1  48        0         0
#> 91.2   5.33      1  61        0         1
#> 127.1  3.53      1  62        0         1
#> 130   16.47      1  53        0         1
#> 125   15.65      1  67        1         0
#> 13.1  14.34      1  54        0         1
#> 37.2  12.52      1  57        1         0
#> 170.1 19.54      1  43        0         1
#> 181.1 16.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 51    18.23      1  83        0         1
#> 155.1 13.08      1  26        0         0
#> 56.1  12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 197.1 21.60      1  69        1         0
#> 155.2 13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 136   21.83      1  43        0         1
#> 123   13.00      1  44        1         0
#> 130.1 16.47      1  53        0         1
#> 164.2 23.60      1  76        0         1
#> 69    23.23      1  25        0         1
#> 164.3 23.60      1  76        0         1
#> 111.2 17.45      1  47        0         1
#> 139   21.49      1  63        1         0
#> 105   19.75      1  60        0         0
#> 157.2 15.10      1  47        0         0
#> 10.1  10.53      1  34        0         0
#> 155.3 13.08      1  26        0         0
#> 45.1  17.42      1  54        0         1
#> 197.2 21.60      1  69        1         0
#> 179.1 18.63      1  42        0         0
#> 84    24.00      0  39        0         1
#> 132   24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 176   24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 147   24.00      0  76        1         0
#> 137   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 132.1 24.00      0  55        0         0
#> 156   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 182   24.00      0  35        0         0
#> 141.1 24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 73    24.00      0  NA        0         1
#> 182.1 24.00      0  35        0         0
#> 146.1 24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 182.2 24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 104.1 24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 103.1 24.00      0  56        1         0
#> 67    24.00      0  25        0         0
#> 87    24.00      0  27        0         0
#> 3     24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 135.1 24.00      0  58        1         0
#> 22    24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 73.1  24.00      0  NA        0         1
#> 141.2 24.00      0  44        1         0
#> 182.3 24.00      0  35        0         0
#> 72.1  24.00      0  40        0         1
#> 9     24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 143   24.00      0  51        0         0
#> 137.2 24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 173.1 24.00      0  19        0         1
#> 163   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 31    24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 186   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 95    24.00      0  68        0         1
#> 115.1 24.00      0  NA        1         0
#> 84.1  24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 27.2  24.00      0  63        1         0
#> 132.2 24.00      0  55        0         0
#> 200   24.00      0  64        0         0
#> 151.1 24.00      0  42        0         0
#> 65    24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 22.1  24.00      0  52        1         0
#> 73.2  24.00      0  NA        0         1
#> 95.1  24.00      0  68        0         1
#> 98    24.00      0  34        1         0
#> 11    24.00      0  42        0         1
#> 2.1   24.00      0   9        0         0
#> 67.1  24.00      0  25        0         0
#> 103.2 24.00      0  56        1         0
#> 1.1   24.00      0  23        1         0
#> 82.1  24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.19          NA        NA      NA
#> 2 age, Cure model           0.0309        NA        NA      NA
#> 3 grade_ii, Cure model     -0.706         NA        NA      NA
#> 4 grade_iii, Cure model     0.889         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00973        NA        NA      NA
#> 2 grade_ii, Survival model   0.270          NA        NA      NA
#> 3 grade_iii, Survival model  0.0877         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.18940           0.03094          -0.70635           0.88914  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.2 
#> Residual Deviance: 234.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18940193       0.03094427      -0.70635092       0.88913897 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009733158      0.269964016      0.087720067 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.5614445894 0.0008500588 0.0849080474 0.3384931830 0.6304199884
#>   [6] 0.5160000819 0.0914711391 0.1050603315 0.3880958956 0.0439923768
#>  [11] 0.6304199884 0.7645121340 0.0065116062 0.1869246072 0.7393210762
#>  [16] 0.2823121069 0.2731591820 0.5047950473 0.1329547913 0.4613526450
#>  [21] 0.0038855704 0.0551691052 0.5272774894 0.5499311322 0.1480300257
#>  [26] 0.4085027263 0.6304199884 0.9201880541 0.7772510515 0.9333816256
#>  [31] 0.8808407084 0.6186449033 0.0439923768 0.2823121069 0.2372904435
#>  [36] 0.8677004705 0.2116083387 0.3192510717 0.1630437077 0.0664248479
#>  [41] 0.0284075227 0.7145040959 0.8416227435 0.6780089017 0.3680429479
#>  [46] 0.0065116062 0.3096882192 0.0551691052 0.6304199884 0.8156342887
#>  [51] 0.2550764559 0.6780089017 0.4936949338 0.4400854510 0.1404258317
#>  [56] 0.9730644708 0.0128308533 0.2285619817 0.4613526450 0.0128308533
#>  [61] 0.4294883697 0.8416227435 0.4400854510 0.0008500588 0.8808407084
#>  [66] 0.8286049777 0.2031860516 0.0725155291 0.3880958956 0.9333816256
#>  [71] 0.1480300257 0.9070056640 0.7145040959 0.7900372433 0.1708602519
#>  [76] 0.9333816256 0.9730644708 0.3483079307 0.4189538103 0.5272774894
#>  [81] 0.6780089017 0.1869246072 0.3680429479 0.0284075227 0.2461009708
#>  [86] 0.5614445894 0.7393210762 0.2640527824 0.1050603315 0.5614445894
#>  [91] 0.0725155291 0.0981994668 0.6069111100 0.3483079307 0.0128308533
#>  [96] 0.0384683250 0.0128308533 0.2823121069 0.1255804139 0.1788126237
#> [101] 0.4613526450 0.7900372433 0.5614445894 0.3192510717 0.1050603315
#> [106] 0.2116083387 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   155    78   194   106   177    57   175   197     5    92 177.1    49   168 
#> 13.08 23.88 22.40 16.67 12.53 14.46 21.91 21.60 16.43 22.92 12.53 12.19 23.72 
#>   170    56   111   117   133   153   157    86    63    13    81   190   100 
#> 19.54 12.21 17.45 17.46 14.65 21.33 15.10 23.81 22.77 14.34 14.06 20.81 16.07 
#> 177.2    25   107    91   187    14  92.1 111.1   108   101   179    45    68 
#> 12.53  6.32 11.18  5.33  9.92 12.89 22.92 17.45 18.29  9.97 18.63 17.42 20.62 
#>    15   129    42   145    37   181 168.1    30  63.1 177.3    52    40  37.1 
#> 22.68 23.41 12.43 10.07 12.52 16.46 23.72 17.43 22.77 12.53 10.42 18.00 12.52 
#>   180    29    90   127   164     8 157.1 164.1   167 145.1  29.1  78.1 187.1 
#> 14.82 15.45 20.94  3.53 23.60 18.43 15.10 23.60 15.55 10.07 15.45 23.88  9.92 
#>    61    76   169   5.1  91.1 190.1    70  42.1    10   166  91.2 127.1   130 
#> 10.12 19.22 22.41 16.43  5.33 20.81  7.38 12.43 10.53 19.98  5.33  3.53 16.47 
#>   125  13.1  37.2 170.1 181.1 129.1    51 155.1  56.1   110 197.1 155.2 169.1 
#> 15.65 14.34 12.52 19.54 16.46 23.41 18.23 13.08 12.21 17.56 21.60 13.08 22.41 
#>   136   123 130.1 164.2    69 164.3 111.2   139   105 157.2  10.1 155.3  45.1 
#> 21.83 13.00 16.47 23.60 23.23 23.60 17.45 21.49 19.75 15.10 10.53 13.08 17.42 
#> 197.2 179.1    84   132    21   146    17   109   176   119   147   137   141 
#> 21.60 18.63 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 132.1   156   103   182 141.1   185   104    82 182.1 146.1    54 182.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   173    72    27 104.1   135     1 103.1    67    87     3   162 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1    22   165    38 119.1 141.2 182.3  72.1     9 156.1     7   143 137.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1   148 173.1   163    80    94    31    75   172     2   151   186    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1    95  84.1   131  27.2 132.2   200 151.1    65   178  22.1  95.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   2.1  67.1 103.2   1.1  82.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00262855                0.37607073                0.36318387 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.321177458             0.007984163            -0.178181850 
#>   grade_iii, Cure model 
#>             0.744744321 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 99    21.19      1  38        0         1
#> 192   16.44      1  31        1         0
#> 45    17.42      1  54        0         1
#> 125   15.65      1  67        1         0
#> 166   19.98      1  48        0         0
#> 117.1 17.46      1  26        0         1
#> 16     8.71      1  71        0         1
#> 36    21.19      1  48        0         1
#> 6     15.64      1  39        0         0
#> 179   18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 55    19.34      1  69        0         1
#> 30    17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 190   20.81      1  42        1         0
#> 100.1 16.07      1  60        0         0
#> 93    10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 101    9.97      1  10        0         1
#> 108   18.29      1  39        0         1
#> 97    19.14      1  65        0         1
#> 100.2 16.07      1  60        0         0
#> 140   12.68      1  59        1         0
#> 97.1  19.14      1  65        0         1
#> 157   15.10      1  47        0         0
#> 85    16.44      1  36        0         0
#> 76    19.22      1  54        0         1
#> 51    18.23      1  83        0         1
#> 63.1  22.77      1  31        1         0
#> 183    9.24      1  67        1         0
#> 127    3.53      1  62        0         1
#> 169   22.41      1  46        0         0
#> 23    16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 124.1  9.73      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 91     5.33      1  61        0         1
#> 85.1  16.44      1  36        0         0
#> 70     7.38      1  30        1         0
#> 114   13.68      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 43    12.10      1  61        0         1
#> 6.1   15.64      1  39        0         0
#> 50.1  10.02      1  NA        1         0
#> 114.1 13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 100.3 16.07      1  60        0         0
#> 42    12.43      1  49        0         1
#> 107   11.18      1  54        1         0
#> 114.2 13.68      1  NA        0         0
#> 15    22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 164.1 23.60      1  76        0         1
#> 79    16.23      1  54        1         0
#> 106   16.67      1  49        1         0
#> 10    10.53      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 171   16.57      1  41        0         1
#> 190.1 20.81      1  42        1         0
#> 127.1  3.53      1  62        0         1
#> 190.2 20.81      1  42        1         0
#> 113   22.86      1  34        0         0
#> 70.1   7.38      1  30        1         0
#> 68.2  20.62      1  44        0         0
#> 24    23.89      1  38        0         0
#> 154   12.63      1  20        1         0
#> 106.1 16.67      1  49        1         0
#> 106.2 16.67      1  49        1         0
#> 113.1 22.86      1  34        0         0
#> 14    12.89      1  21        0         0
#> 36.1  21.19      1  48        0         1
#> 159   10.55      1  50        0         1
#> 179.1 18.63      1  42        0         0
#> 32    20.90      1  37        1         0
#> 134   17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 68.3  20.62      1  44        0         0
#> 37    12.52      1  57        1         0
#> 99.1  21.19      1  38        0         1
#> 190.3 20.81      1  42        1         0
#> 179.2 18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 129   23.41      1  53        1         0
#> 8     18.43      1  32        0         0
#> 168   23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 194   22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 177   12.53      1  75        0         0
#> 18.1  15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 56    12.21      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 26.1  15.77      1  49        0         1
#> 169.1 22.41      1  46        0         0
#> 169.2 22.41      1  46        0         0
#> 111.1 17.45      1  47        0         1
#> 184   17.77      1  38        0         0
#> 78    23.88      1  43        0         0
#> 171.1 16.57      1  41        0         1
#> 91.1   5.33      1  61        0         1
#> 5.1   16.43      1  51        0         1
#> 110   17.56      1  65        0         1
#> 33    24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 98    24.00      0  34        1         0
#> 98.1  24.00      0  34        1         0
#> 94    24.00      0  51        0         1
#> 135   24.00      0  58        1         0
#> 67    24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 118   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 141   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 144   24.00      0  28        0         1
#> 146   24.00      0  63        1         0
#> 196   24.00      0  19        0         0
#> 115.1 24.00      0  NA        1         0
#> 120   24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 196.1 24.00      0  19        0         0
#> 185   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 20    24.00      0  46        1         0
#> 62.1  24.00      0  71        0         0
#> 165   24.00      0  47        0         0
#> 152   24.00      0  36        0         1
#> 165.1 24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 160   24.00      0  31        1         0
#> 98.2  24.00      0  34        1         0
#> 146.1 24.00      0  63        1         0
#> 115.2 24.00      0  NA        1         0
#> 112   24.00      0  61        0         0
#> 131   24.00      0  66        0         0
#> 98.3  24.00      0  34        1         0
#> 152.1 24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 186   24.00      0  45        1         0
#> 182.1 24.00      0  35        0         0
#> 11    24.00      0  42        0         1
#> 165.2 24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 172   24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 163.1 24.00      0  66        0         0
#> 165.3 24.00      0  47        0         0
#> 71.1  24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 118.1 24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 141.1 24.00      0  44        1         0
#> 98.4  24.00      0  34        1         0
#> 156   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 22    24.00      0  52        1         0
#> 46    24.00      0  71        0         0
#> 173.1 24.00      0  19        0         1
#> 7     24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 3.1   24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 152.2 24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 82    24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 131.1 24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 35.1  24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 146.2 24.00      0  63        1         0
#> 103.1 24.00      0  56        1         0
#> 156.1 24.00      0  50        1         0
#> 198   24.00      0  66        0         1
#> 172.1 24.00      0  41        0         0
#> 3.2   24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 193.2 24.00      0  45        0         1
#> 71.2  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.321          NA        NA      NA
#> 2 age, Cure model          0.00798        NA        NA      NA
#> 3 grade_ii, Cure model    -0.178          NA        NA      NA
#> 4 grade_iii, Cure model    0.745          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00263        NA        NA      NA
#> 2 grade_ii, Survival model   0.376          NA        NA      NA
#> 3 grade_iii, Survival model  0.363          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.321177          0.007984         -0.178182          0.744744  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 252.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.321177458      0.007984163     -0.178181850      0.744744321 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00262855       0.37607073       0.36318387 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.669129088 0.506779053 0.209720862 0.615932017 0.552732574 0.721920023
#>   [7] 0.344356299 0.506779053 0.923671108 0.209720862 0.730784665 0.411861038
#>  [13] 0.642517905 0.085488466 0.120924410 0.363993324 0.543490898 0.296723259
#>  [19] 0.748447936 0.259438610 0.669129088 0.889031221 0.957837983 0.906406255
#>  [25] 0.449792323 0.392924031 0.669129088 0.801303412 0.392924031 0.765995062
#>  [31] 0.615932017 0.383238490 0.459383703 0.120924410 0.915047694 0.983201747
#>  [37] 0.154273335 0.561936150 0.363993324 0.354213477 0.966339642 0.615932017
#>  [43] 0.940860315 0.774831286 0.854095739 0.730784665 0.525221791 0.669129088
#>  [49] 0.836546581 0.862856709 0.142781880 0.048775984 0.048775984 0.660239636
#>  [55] 0.571162115 0.880309057 0.296723259 0.897731688 0.598036185 0.259438610
#>  [61] 0.983201747 0.259438610 0.097641978 0.940860315 0.296723259 0.006333254
#>  [67] 0.810139163 0.571162115 0.571162115 0.097641978 0.783681554 0.209720862
#>  [73] 0.871594275 0.411861038 0.249091984 0.478443920 0.334532469 0.296723259
#>  [79] 0.827754307 0.209720862 0.259438610 0.411861038 0.468943941 0.072852542
#>  [85] 0.440139657 0.033348426 0.198455847 0.187039239 0.932279003 0.818938261
#>  [91] 0.748447936 0.704251868 0.845314515 0.783681554 0.704251868 0.154273335
#>  [97] 0.154273335 0.525221791 0.487890025 0.019122352 0.598036185 0.966339642
#> [103] 0.642517905 0.497353552 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   100   117    99   192    45   125   166 117.1    16    36     6   179     5 
#> 16.07 17.46 21.19 16.44 17.42 15.65 19.98 17.46  8.71 21.19 15.64 18.63 16.43 
#>    92    63    55    30    68    18   190 100.1    93    25   101   108    97 
#> 22.92 22.77 19.34 17.43 20.62 15.21 20.81 16.07 10.33  6.32  9.97 18.29 19.14 
#> 100.2   140  97.1   157    85    76    51  63.1   183   127   169    23    58 
#> 16.07 12.68 19.14 15.10 16.44 19.22 18.23 22.77  9.24  3.53 22.41 16.92 19.34 
#>   170    91  85.1    70   133    43   6.1   111 100.3    42   107    15   164 
#> 19.54  5.33 16.44  7.38 14.65 12.10 15.64 17.45 16.07 12.43 11.18 22.68 23.60 
#> 164.1    79   106    10  68.1    61   171 190.1 127.1 190.2   113  70.1  68.2 
#> 23.60 16.23 16.67 10.53 20.62 10.12 16.57 20.81  3.53 20.81 22.86  7.38 20.62 
#>    24   154 106.1 106.2 113.1    14  36.1   159 179.1    32   134   158  68.3 
#> 23.89 12.63 16.67 16.67 22.86 12.89 21.19 10.55 18.63 20.90 17.81 20.14 20.62 
#>    37  99.1 190.3 179.2    41   129     8   168   139   194   149   177  18.1 
#> 12.52 21.19 20.81 18.63 18.02 23.41 18.43 23.72 21.49 22.40  8.37 12.53 15.21 
#>    26    56  14.1  26.1 169.1 169.2 111.1   184    78 171.1  91.1   5.1   110 
#> 15.77 12.21 12.89 15.77 22.41 22.41 17.45 17.77 23.88 16.57  5.33 16.43 17.56 
#>    33   151    98  98.1    94   135    67   163   161 161.1    44   118   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   147   144   146   196   120    71    65 196.1   185    62    20  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   152 165.1 193.1   160  98.2 146.1   112   131  98.3 152.1   178    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182   186 182.1    11 165.2    72   172   102 163.1 165.3  71.1   173 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142 141.1  98.4   156     3 102.1    22    46 173.1     7    35    74   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1 152.2 147.1    82    17   103 131.1 178.1  35.1    31 146.2 103.1 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 172.1   3.2 156.2    87 193.2  71.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003421334               0.738087033               0.692344232 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.707014664             0.009328147             0.226675791 
#>   grade_iii, Cure model 
#>             1.119351472 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 111   17.45      1  47        0         1
#> 16     8.71      1  71        0         1
#> 128   20.35      1  35        0         1
#> 92    22.92      1  47        0         1
#> 99    21.19      1  38        0         1
#> 96    14.54      1  33        0         1
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 32    20.90      1  37        1         0
#> 114   13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 197   21.60      1  69        1         0
#> 5     16.43      1  51        0         1
#> 155   13.08      1  26        0         0
#> 114.1 13.68      1  NA        0         0
#> 101.1  9.97      1  10        0         1
#> 92.1  22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 113   22.86      1  34        0         0
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 125   15.65      1  67        1         0
#> 4     17.64      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 195   11.76      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 66    22.13      1  53        0         0
#> 16.1   8.71      1  71        0         1
#> 101.2  9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 63.1  22.77      1  31        1         0
#> 136   21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 60    13.15      1  38        1         0
#> 5.1   16.43      1  51        0         1
#> 130   16.47      1  53        0         1
#> 16.2   8.71      1  71        0         1
#> 136.1 21.83      1  43        0         1
#> 197.1 21.60      1  69        1         0
#> 128.1 20.35      1  35        0         1
#> 114.2 13.68      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 88    18.37      1  47        0         0
#> 45    17.42      1  54        0         1
#> 41    18.02      1  40        1         0
#> 24    23.89      1  38        0         0
#> 78.1  23.88      1  43        0         0
#> 117   17.46      1  26        0         1
#> 51    18.23      1  83        0         1
#> 5.2   16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 124    9.73      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 10.1  10.53      1  34        0         0
#> 97    19.14      1  65        0         1
#> 183    9.24      1  67        1         0
#> 8     18.43      1  32        0         0
#> 58    19.34      1  39        0         0
#> 43.1  12.10      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 16.3   8.71      1  71        0         1
#> 43.2  12.10      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 77     7.27      1  67        0         1
#> 170.1 19.54      1  43        0         1
#> 111.1 17.45      1  47        0         1
#> 145.1 10.07      1  65        1         0
#> 61    10.12      1  36        0         1
#> 14    12.89      1  21        0         0
#> 139   21.49      1  63        1         0
#> 145.2 10.07      1  65        1         0
#> 69    23.23      1  25        0         1
#> 23    16.92      1  61        0         0
#> 96.1  14.54      1  33        0         1
#> 79.1  16.23      1  54        1         0
#> 99.1  21.19      1  38        0         1
#> 140.1 12.68      1  59        1         0
#> 14.1  12.89      1  21        0         0
#> 39    15.59      1  37        0         1
#> 187    9.92      1  39        1         0
#> 125.1 15.65      1  67        1         0
#> 155.1 13.08      1  26        0         0
#> 197.2 21.60      1  69        1         0
#> 18    15.21      1  49        1         0
#> 81    14.06      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 90    20.94      1  50        0         1
#> 86    23.81      1  58        0         1
#> 100.1 16.07      1  60        0         0
#> 128.2 20.35      1  35        0         1
#> 92.2  22.92      1  47        0         1
#> 127    3.53      1  62        0         1
#> 105   19.75      1  60        0         0
#> 192.1 16.44      1  31        1         0
#> 24.1  23.89      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 106   16.67      1  49        1         0
#> 101.3  9.97      1  10        0         1
#> 123   13.00      1  44        1         0
#> 26    15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 43.3  12.10      1  61        0         1
#> 76    19.22      1  54        0         1
#> 168   23.72      1  70        0         0
#> 42    12.43      1  49        0         1
#> 124.1  9.73      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 72    24.00      0  40        0         1
#> 142   24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 35    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 82    24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 193   24.00      0  45        0         1
#> 161   24.00      0  45        0         0
#> 147   24.00      0  76        1         0
#> 12    24.00      0  63        0         0
#> 185.1 24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 162.1 24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 172   24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 35.1  24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 138   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 142.2 24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 148.1 24.00      0  61        1         0
#> 173.1 24.00      0  19        0         1
#> 173.2 24.00      0  19        0         1
#> 178   24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 198   24.00      0  66        0         1
#> 103   24.00      0  56        1         0
#> 67    24.00      0  25        0         0
#> 65    24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 116   24.00      0  58        0         1
#> 9.1   24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 163   24.00      0  66        0         0
#> 35.2  24.00      0  51        0         0
#> 35.3  24.00      0  51        0         0
#> 82.1  24.00      0  34        0         0
#> 200   24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 109.1 24.00      0  48        0         0
#> 115.1 24.00      0  NA        1         0
#> 135   24.00      0  58        1         0
#> 11    24.00      0  42        0         1
#> 71    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 118   24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 2.1   24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 3.2   24.00      0  31        1         0
#> 162.2 24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 173.3 24.00      0  19        0         1
#> 200.1 24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 20.2  24.00      0  46        1         0
#> 7.1   24.00      0  37        1         0
#> 182   24.00      0  35        0         0
#> 173.4 24.00      0  19        0         1
#> 144   24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 137   24.00      0  45        1         0
#> 9.2   24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 118.1 24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 151   24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.707          NA        NA      NA
#> 2 age, Cure model          0.00933        NA        NA      NA
#> 3 grade_ii, Cure model     0.227          NA        NA      NA
#> 4 grade_iii, Cure model    1.12           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00342        NA        NA      NA
#> 2 grade_ii, Survival model   0.738          NA        NA      NA
#> 3 grade_iii, Survival model  0.692          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.707015          0.009328          0.226676          1.119351  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 245.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.707014664      0.009328147      0.226675791      1.119351472 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003421334      0.738087033      0.692344232 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.75130665 0.67433660 0.96645348 0.55917739 0.27752550 0.50129860
#>   [7] 0.80787007 0.90468654 0.93627323 0.53100925 0.76416359 0.98567457
#>  [13] 0.45849025 0.73159469 0.83157550 0.93627323 0.27752550 0.35265510
#>  [19] 0.32237092 0.40727603 0.11656594 0.78333023 0.86072050 0.23425418
#>  [25] 0.39360853 0.96645348 0.93627323 0.87772601 0.37984607 0.35265510
#>  [31] 0.43387493 0.82568500 0.73159469 0.71081226 0.96645348 0.43387493
#>  [37] 0.45849025 0.55917739 0.89929466 0.64307188 0.68906908 0.65896614
#>  [43] 0.04844219 0.11656594 0.66670382 0.65109925 0.73159469 0.71788173
#>  [49] 0.92076658 0.90468654 0.62697029 0.96145697 0.63502699 0.61038504
#>  [55] 0.87772601 0.54056256 0.96645348 0.87772601 0.59372619 0.99048425
#>  [61] 0.59372619 0.67433660 0.92076658 0.91542242 0.84912368 0.49069739
#>  [67] 0.92076658 0.25695799 0.69636503 0.80787007 0.75130665 0.50129860
#>  [73] 0.86072050 0.84912368 0.79567078 0.95641776 0.78333023 0.83157550
#>  [79] 0.45849025 0.80180462 0.81973583 0.32237092 0.52121378 0.18014192
#>  [85] 0.76416359 0.55917739 0.27752550 0.99525885 0.58501375 0.71788173
#>  [91] 0.04844219 0.40727603 0.70364329 0.93627323 0.84329939 0.77697143
#>  [97] 0.54988277 0.87772601 0.61875567 0.20767165 0.87207863 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    79   111    16   128    92    99    96    10   101    32   100    70   197 
#> 16.23 17.45  8.71 20.35 22.92 21.19 14.54 10.53  9.97 20.90 16.07  7.38 21.60 
#>     5   155 101.1  92.1    63   113   175    78   125   140   129    66  16.1 
#> 16.43 13.08  9.97 22.92 22.77 22.86 21.91 23.88 15.65 12.68 23.41 22.13  8.71 
#> 101.2    43   169  63.1   136    60   5.1   130  16.2 136.1 197.1 128.1   107 
#>  9.97 12.10 22.41 22.77 21.83 13.15 16.43 16.47  8.71 21.83 21.60 20.35 11.18 
#>    88    45    41    24  78.1   117    51   5.2   192   145  10.1    97   183 
#> 18.37 17.42 18.02 23.89 23.88 17.46 18.23 16.43 16.44 10.07 10.53 19.14  9.24 
#>     8    58  43.1   190  16.3  43.2   170    77 170.1 111.1 145.1    61    14 
#> 18.43 19.34 12.10 20.81  8.71 12.10 19.54  7.27 19.54 17.45 10.07 10.12 12.89 
#>   139 145.2    69    23  96.1  79.1  99.1 140.1  14.1    39   187 125.1 155.1 
#> 21.49 10.07 23.23 16.92 14.54 16.23 21.19 12.68 12.89 15.59  9.92 15.65 13.08 
#> 197.2    18    81 113.1    90    86 100.1 128.2  92.2   127   105 192.1  24.1 
#> 21.60 15.21 14.06 22.86 20.94 23.81 16.07 20.35 22.92  3.53 19.75 16.44 23.89 
#> 175.1   106 101.3   123    26    68  43.3    76   168    42    72   142    20 
#> 21.91 16.67  9.97 13.00 15.77 20.62 12.10 19.22 23.72 12.43 24.00 24.00 24.00 
#>    35   104   143   185   162    22   120   196    82     2   193   161   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12 185.1 142.1    75   131    95 162.1   173   172   109 120.1  35.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    62 142.2    31     3   156 148.1 173.1 173.2   178    64   198   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    65     9   3.1  20.1   116   9.1   163  35.2  35.3  82.1   200    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    19 109.1   135    11    71    21   118 172.1   126   2.1   141     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2 162.2    83 173.3 200.1    94  20.2   7.1   182 173.4   144   137   9.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1 118.1 116.1   151 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004276461               0.665148787               0.399098800 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.256592068             0.006677952            -0.409384440 
#>   grade_iii, Cure model 
#>             0.647790068 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 168   23.72      1  70        0         0
#> 179   18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 85    16.44      1  36        0         0
#> 184   17.77      1  38        0         0
#> 89    11.44      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 39    15.59      1  37        0         1
#> 70     7.38      1  30        1         0
#> 159   10.55      1  50        0         1
#> 50    10.02      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 97    19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 88    18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 195   11.76      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 168.1 23.72      1  70        0         0
#> 171   16.57      1  41        0         1
#> 61    10.12      1  36        0         1
#> 10    10.53      1  34        0         0
#> 188   16.16      1  46        0         1
#> 15    22.68      1  48        0         0
#> 18.1  15.21      1  49        1         0
#> 18.2  15.21      1  49        1         0
#> 177   12.53      1  75        0         0
#> 55    19.34      1  69        0         1
#> 133   14.65      1  57        0         0
#> 88.1  18.37      1  47        0         0
#> 66.1  22.13      1  53        0         0
#> 93    10.33      1  52        0         1
#> 171.1 16.57      1  41        0         1
#> 170   19.54      1  43        0         1
#> 127    3.53      1  62        0         1
#> 180   14.82      1  37        0         0
#> 51    18.23      1  83        0         1
#> 124    9.73      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 128   20.35      1  35        0         1
#> 41    18.02      1  40        1         0
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 55.1  19.34      1  69        0         1
#> 39.2  15.59      1  37        0         1
#> 52.1  10.42      1  52        0         1
#> 39.3  15.59      1  37        0         1
#> 110   17.56      1  65        0         1
#> 157   15.10      1  47        0         0
#> 154   12.63      1  20        1         0
#> 88.2  18.37      1  47        0         0
#> 97.1  19.14      1  65        0         1
#> 134   17.81      1  47        1         0
#> 42    12.43      1  49        0         1
#> 45    17.42      1  54        0         1
#> 68    20.62      1  44        0         0
#> 16     8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 55.2  19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 149    8.37      1  33        1         0
#> 124.1  9.73      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 171.2 16.57      1  41        0         1
#> 43    12.10      1  61        0         1
#> 100   16.07      1  60        0         0
#> 180.1 14.82      1  37        0         0
#> 108   18.29      1  39        0         1
#> 129   23.41      1  53        1         0
#> 133.1 14.65      1  57        0         0
#> 128.1 20.35      1  35        0         1
#> 145.1 10.07      1  65        1         0
#> 45.1  17.42      1  54        0         1
#> 69    23.23      1  25        0         1
#> 124.2  9.73      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 90    20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 189.1 10.51      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 101    9.97      1  10        0         1
#> 167   15.55      1  56        1         0
#> 58.1  19.34      1  39        0         0
#> 108.1 18.29      1  39        0         1
#> 167.1 15.55      1  56        1         0
#> 51.1  18.23      1  83        0         1
#> 63    22.77      1  31        1         0
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 110.1 17.56      1  65        0         1
#> 169   22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 40    18.00      1  28        1         0
#> 133.2 14.65      1  57        0         0
#> 108.2 18.29      1  39        0         1
#> 106   16.67      1  49        1         0
#> 157.1 15.10      1  47        0         0
#> 189.2 10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 175.1 21.91      1  43        0         0
#> 8     18.43      1  32        0         0
#> 123   13.00      1  44        1         0
#> 140.1 12.68      1  59        1         0
#> 40.1  18.00      1  28        1         0
#> 97.2  19.14      1  65        0         1
#> 96.1  14.54      1  33        0         1
#> 89.1  11.44      1  NA        0         0
#> 177.1 12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 70.1   7.38      1  30        1         0
#> 19    24.00      0  57        0         1
#> 151   24.00      0  42        0         0
#> 84    24.00      0  39        0         1
#> 147   24.00      0  76        1         0
#> 135   24.00      0  58        1         0
#> 122   24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 75.1  24.00      0  21        1         0
#> 121   24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 19.1  24.00      0  57        0         1
#> 185   24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 198   24.00      0  66        0         1
#> 98    24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 112   24.00      0  61        0         0
#> 198.1 24.00      0  66        0         1
#> 65    24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 84.1  24.00      0  39        0         1
#> 12    24.00      0  63        0         0
#> 62    24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 148.1 24.00      0  61        1         0
#> 185.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 196   24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 193   24.00      0  45        0         1
#> 94    24.00      0  51        0         1
#> 147.2 24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 144.1 24.00      0  28        0         1
#> 46    24.00      0  71        0         0
#> 12.1  24.00      0  63        0         0
#> 176.1 24.00      0  43        0         1
#> 151.2 24.00      0  42        0         0
#> 80    24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 198.2 24.00      0  66        0         1
#> 80.1  24.00      0  41        0         0
#> 38.1  24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 137.1 24.00      0  45        1         0
#> 137.2 24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 121.1 24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 62.2  24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 31.1  24.00      0  36        0         1
#> 121.2 24.00      0  57        1         0
#> 148.2 24.00      0  61        1         0
#> 198.3 24.00      0  66        0         1
#> 1.1   24.00      0  23        1         0
#> 74.1  24.00      0  43        0         1
#> 142.1 24.00      0  53        0         0
#> 38.2  24.00      0  31        1         0
#> 185.2 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 200   24.00      0  64        0         0
#> 34.1  24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.257          NA        NA      NA
#> 2 age, Cure model          0.00668        NA        NA      NA
#> 3 grade_ii, Cure model    -0.409          NA        NA      NA
#> 4 grade_iii, Cure model    0.648          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00428        NA        NA      NA
#> 2 grade_ii, Survival model   0.665          NA        NA      NA
#> 3 grade_iii, Survival model  0.399          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.256592          0.006678         -0.409384          0.647790  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 249.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.256592068      0.006677952     -0.409384440      0.647790068 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004276461      0.665148787      0.399098800 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.034190645 0.338912584 0.781944022 0.599654129 0.493713430 0.179166249
#>   [7] 0.628248880 0.966334681 0.870656533 0.155631355 0.308062774 0.692490812
#>  [13] 0.360288449 0.132684724 0.628248880 0.034190645 0.571541745 0.914522662
#>  [19] 0.879461244 0.609196921 0.109706261 0.692490812 0.692490812 0.835378465
#>  [25] 0.257761454 0.754941371 0.360288449 0.132684724 0.905756977 0.571541745
#>  [31] 0.246806620 0.991597801 0.736970500 0.422997805 0.683311566 0.225157892
#>  [37] 0.443897866 0.190988279 0.888277900 0.257761454 0.628248880 0.888277900
#>  [43] 0.628248880 0.503569419 0.719063550 0.826573293 0.360288449 0.308062774
#>  [49] 0.474255890 0.852997382 0.542568484 0.213742173 0.949143441 0.257761454
#>  [55] 0.257761454 0.923265069 0.957765628 0.474255890 0.571541745 0.861833662
#>  [61] 0.618706303 0.736970500 0.391970209 0.060587402 0.754941371 0.225157892
#>  [67] 0.923265069 0.542568484 0.073866666 0.020805169 0.202430198 0.532754564
#>  [73] 0.983185384 0.940513400 0.664965243 0.257761454 0.391970209 0.664965243
#>  [79] 0.422997805 0.098530866 0.006415691 0.086389724 0.503569419 0.121097834
#>  [85] 0.522991657 0.454315303 0.754941371 0.391970209 0.561892034 0.719063550
#>  [91] 0.808909768 0.155631355 0.349579609 0.799928479 0.808909768 0.454315303
#>  [97] 0.308062774 0.781944022 0.835378465 0.966334681 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   168   179    96    85   184   197    39    70   159   175    97    18    88 
#> 23.72 18.63 14.54 16.44 17.77 21.60 15.59  7.38 10.55 21.91 19.14 15.21 18.37 
#>    66  39.1 168.1   171    61    10   188    15  18.1  18.2   177    55   133 
#> 22.13 15.59 23.72 16.57 10.12 10.53 16.16 22.68 15.21 15.21 12.53 19.34 14.65 
#>  88.1  66.1    93 171.1   170   127   180    51    29   128    41   153    52 
#> 18.37 22.13 10.33 16.57 19.54  3.53 14.82 18.23 15.45 20.35 18.02 21.33 10.42 
#>  55.1  39.2  52.1  39.3   110   157   154  88.2  97.1   134    42    45    68 
#> 19.34 15.59 10.42 15.59 17.56 15.10 12.63 18.37 19.14 17.81 12.43 17.42 20.62 
#>    16    58  55.2   145   149 134.1 171.2    43   100 180.1   108   129 133.1 
#>  8.71 19.34 19.34 10.07  8.37 17.81 16.57 12.10 16.07 14.82 18.29 23.41 14.65 
#> 128.1 145.1  45.1    69    86    90    30    25   101   167  58.1 108.1 167.1 
#> 20.35 10.07 17.42 23.23 23.81 20.94 17.43  6.32  9.97 15.55 19.34 18.29 15.55 
#>  51.1    63    24    92 110.1   169   111    40 133.2 108.2   106 157.1   140 
#> 18.23 22.77 23.89 22.92 17.56 22.41 17.45 18.00 14.65 18.29 16.67 15.10 12.68 
#> 175.1     8   123 140.1  40.1  97.2  96.1 177.1  70.1    19   151    84   147 
#> 21.91 18.43 13.00 12.68 18.00 19.14 14.54 12.53  7.38 24.00 24.00 24.00 24.00 
#>   135   122    75     2     9     3   142    22    33   148  75.1   121    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   185 147.1   198    98   172   137   9.1    34   102   112 198.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   161    11   162    48   120     1   178   182  84.1    12    62 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   119 148.1 185.1    74   103   196   144   193    94 147.2   160   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1    46  12.1 176.1 151.2    80   146 198.2  80.1  38.1  62.1 137.1 137.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132 121.1 146.1  62.2   2.1  31.1 121.2 148.2 198.3   1.1  74.1 142.1  38.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.2    28   200  34.1    53 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01424552                0.55957862                0.05985955 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.09859998              0.00437587             -0.14777208 
#>   grade_iii, Cure model 
#>              0.34625928 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 140   12.68      1  59        1         0
#> 10    10.53      1  34        0         0
#> 58    19.34      1  39        0         0
#> 79    16.23      1  54        1         0
#> 127    3.53      1  62        0         1
#> 192   16.44      1  31        1         0
#> 25     6.32      1  34        1         0
#> 179   18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 5.1   16.43      1  51        0         1
#> 39    15.59      1  37        0         1
#> 164   23.60      1  76        0         1
#> 26    15.77      1  49        0         1
#> 68    20.62      1  44        0         0
#> 134   17.81      1  47        1         0
#> 124    9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 158   20.14      1  74        1         0
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 123   13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 92    22.92      1  47        0         1
#> 70     7.38      1  30        1         0
#> 4     17.64      1  NA        0         1
#> 197   21.60      1  69        1         0
#> 55    19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 14    12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 81    14.06      1  34        0         0
#> 170   19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 124.1  9.73      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 45    17.42      1  54        0         1
#> 180   14.82      1  37        0         0
#> 15    22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 92.1  22.92      1  47        0         1
#> 70.1   7.38      1  30        1         0
#> 42    12.43      1  49        0         1
#> 155   13.08      1  26        0         0
#> 164.1 23.60      1  76        0         1
#> 134.1 17.81      1  47        1         0
#> 4.1   17.64      1  NA        0         1
#> 180.1 14.82      1  37        0         0
#> 169   22.41      1  46        0         0
#> 134.2 17.81      1  47        1         0
#> 55.1  19.34      1  69        0         1
#> 52    10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 70.2   7.38      1  30        1         0
#> 175   21.91      1  43        0         0
#> 130   16.47      1  53        0         1
#> 63    22.77      1  31        1         0
#> 181.1 16.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 41    18.02      1  40        1         0
#> 91     5.33      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 100   16.07      1  60        0         0
#> 124.2  9.73      1  NA        1         0
#> 92.2  22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 97    19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 150   20.33      1  48        0         0
#> 58.1  19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 36    21.19      1  48        0         1
#> 128.1 20.35      1  35        0         1
#> 78    23.88      1  43        0         0
#> 24    23.89      1  38        0         0
#> 180.2 14.82      1  37        0         0
#> 50.1  10.02      1  NA        1         0
#> 55.2  19.34      1  69        0         1
#> 81.1  14.06      1  34        0         0
#> 69    23.23      1  25        0         1
#> 14.1  12.89      1  21        0         0
#> 130.1 16.47      1  53        0         1
#> 90    20.94      1  50        0         1
#> 171   16.57      1  41        0         1
#> 199   19.81      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 42.1  12.43      1  49        0         1
#> 168   23.72      1  70        0         0
#> 123.1 13.00      1  44        1         0
#> 149    8.37      1  33        1         0
#> 153.1 21.33      1  55        1         0
#> 100.1 16.07      1  60        0         0
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 107   11.18      1  54        1         0
#> 111   17.45      1  47        0         1
#> 26.2  15.77      1  49        0         1
#> 155.1 13.08      1  26        0         0
#> 14.2  12.89      1  21        0         0
#> 30    17.43      1  78        0         0
#> 180.3 14.82      1  37        0         0
#> 37    12.52      1  57        1         0
#> 180.4 14.82      1  37        0         0
#> 187    9.92      1  39        1         0
#> 68.1  20.62      1  44        0         0
#> 29.1  15.45      1  68        1         0
#> 37.1  12.52      1  57        1         0
#> 29.2  15.45      1  68        1         0
#> 64    24.00      0  43        0         0
#> 112   24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 20    24.00      0  46        1         0
#> 38    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 126   24.00      0  48        0         0
#> 64.1  24.00      0  43        0         0
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 118   24.00      0  44        1         0
#> 17.1  24.00      0  38        0         1
#> 17.2  24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 191   24.00      0  60        0         1
#> 126.1 24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 116.1 24.00      0  58        0         1
#> 54.1  24.00      0  53        1         0
#> 172.1 24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 72    24.00      0  40        0         1
#> 173   24.00      0  19        0         1
#> 122   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 38.1  24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 151.1 24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 172.2 24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 87    24.00      0  27        0         0
#> 174.1 24.00      0  49        1         0
#> 47.1  24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 121   24.00      0  57        1         0
#> 64.2  24.00      0  43        0         0
#> 142   24.00      0  53        0         0
#> 176.1 24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 44    24.00      0  56        0         0
#> 9.1   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 95.1  24.00      0  68        0         1
#> 7.1   24.00      0  37        1         0
#> 87.1  24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 28.1  24.00      0  67        1         0
#> 112.1 24.00      0  61        0         0
#> 162.1 24.00      0  51        0         0
#> 104.1 24.00      0  50        1         0
#> 116.2 24.00      0  58        0         1
#> 121.1 24.00      0  57        1         0
#> 182   24.00      0  35        0         0
#> 20.1  24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 44.1  24.00      0  56        0         0
#> 198.1 24.00      0  66        0         1
#> 112.2 24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 191.1 24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0986         NA        NA      NA
#> 2 age, Cure model          0.00438        NA        NA      NA
#> 3 grade_ii, Cure model    -0.148          NA        NA      NA
#> 4 grade_iii, Cure model    0.346          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0142        NA        NA      NA
#> 2 grade_ii, Survival model    0.560         NA        NA      NA
#> 3 grade_iii, Survival model   0.0599        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.098600          0.004376         -0.147772          0.346259  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 258.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.09859998       0.00437587      -0.14777208       0.34625928 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01424552       0.55957862       0.05985955 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 7.207567e-01 8.210389e-01 1.083725e-01 3.353342e-01 9.847312e-01
#>   [6] 2.940300e-01 9.398106e-01 1.506333e-01 3.143520e-01 4.962340e-01
#>  [11] 3.565681e-01 3.143520e-01 4.359535e-01 4.007663e-03 3.897779e-01
#>  [16] 6.608324e-02 1.754728e-01 5.844020e-01 9.526991e-02 1.997779e-01
#>  [21] 5.711607e-01 6.520612e-01 1.587198e-01 1.133351e-02 8.958230e-01
#>  [26] 3.664843e-02 1.083725e-01 3.353342e-01 6.794502e-01 2.083846e-01
#>  [31] 5.977975e-01 1.017316e-01 8.507286e-01 3.897779e-01 1.281320e-03
#>  [36] 2.354170e-01 5.087212e-01 2.413433e-02 2.940300e-01 1.133351e-02
#>  [41] 8.958230e-01 7.630486e-01 6.247469e-01 4.007663e-03 1.754728e-01
#>  [46] 5.087212e-01 2.803120e-02 1.754728e-01 1.083725e-01 8.358186e-01
#>  [51] 2.739005e-01 8.958230e-01 3.220771e-02 2.544029e-01 2.052657e-02
#>  [56] 2.739005e-01 7.917326e-01 1.670941e-01 9.546896e-01 9.546896e-01
#>  [61] 3.674963e-01 1.133351e-02 7.722705e-02 1.427377e-01 4.838983e-01
#>  [66] 8.897491e-02 1.083725e-01 4.607314e-02 5.553373e-02 7.722705e-02
#>  [71] 5.263238e-04 9.440808e-05 5.087212e-01 1.083725e-01 5.977975e-01
#>  [76] 8.460360e-03 6.794502e-01 2.544029e-01 6.069863e-02 2.448349e-01
#>  [81] 4.240868e-01 7.630486e-01 2.404554e-03 6.520612e-01 8.808078e-01
#>  [86] 4.607314e-02 3.674963e-01 4.128349e-02 4.479421e-01 8.063605e-01
#>  [91] 2.172024e-01 3.897779e-01 6.247469e-01 6.794502e-01 2.261867e-01
#>  [96] 5.087212e-01 7.348646e-01 5.087212e-01 8.657687e-01 6.608324e-02
#> [101] 4.479421e-01 7.348646e-01 4.479421e-01 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   140    10    58    79   127   192    25   179     5   157   188   5.1    39 
#> 12.68 10.53 19.34 16.23  3.53 16.44  6.32 18.63 16.43 15.10 16.16 16.43 15.59 
#>   164    26    68   134    13   158   184   133   123    51    92    70   197 
#> 23.60 15.77 20.62 17.81 14.34 20.14 17.77 14.65 13.00 18.23 22.92  7.38 21.60 
#>    55  79.1    14   110    81   170    93  26.1    86    45   180    15    85 
#> 19.34 16.23 12.89 17.56 14.06 19.54 10.33 15.77 23.81 17.42 14.82 22.68 16.44 
#>  92.1  70.1    42   155 164.1 134.1 180.1   169 134.2  55.1    52   181  70.2 
#> 22.92  7.38 12.43 13.08 23.60 17.81 14.82 22.41 17.81 19.34 10.42 16.46  7.38 
#>   175   130    63 181.1    56    41    91  91.1   100  92.2   128    97    18 
#> 21.91 16.47 22.77 16.46 12.21 18.02  5.33  5.33 16.07 22.92 20.35 19.14 15.21 
#>   150  58.1   153    36 128.1    78    24 180.2  55.2  81.1    69  14.1 130.1 
#> 20.33 19.34 21.33 21.19 20.35 23.88 23.89 14.82 19.34 14.06 23.23 12.89 16.47 
#>    90   171   125  42.1   168 123.1   149 153.1 100.1   139    29   107   111 
#> 20.94 16.57 15.65 12.43 23.72 13.00  8.37 21.33 16.07 21.49 15.45 11.18 17.45 
#>  26.2 155.1  14.2    30 180.3    37 180.4   187  68.1  29.1  37.1  29.2    64 
#> 15.77 13.08 12.89 17.43 14.82 12.52 14.82  9.92 20.62 15.45 12.52 15.45 24.00 
#>   112   116    20    38   151   126  64.1    22    35    98    74    17   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165     7   148   102    54     9    19   118  17.1  17.2    27   176   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191 126.1   152   172   119 116.1  54.1 172.1     1    72   173   122   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146  38.1    31   104    65   200    94 151.1    47     2   141 172.2   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131    28    87 174.1  47.1   144   121  64.2   142 176.1  74.1    44   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103    95  95.1   7.1  87.1    62  28.1 112.1 162.1 104.1 116.2 121.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1   178  44.1 198.1 112.2   185 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01663864                0.45682172                0.25670363 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.210463322             0.003492557            -0.396234951 
#>   grade_iii, Cure model 
#>             0.928731552 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 55    19.34      1  69        0         1
#> 179   18.63      1  42        0         0
#> 30    17.43      1  78        0         0
#> 45    17.42      1  54        0         1
#> 125   15.65      1  67        1         0
#> 106   16.67      1  49        1         0
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 52    10.42      1  52        0         1
#> 43    12.10      1  61        0         1
#> 37    12.52      1  57        1         0
#> 140   12.68      1  59        1         0
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 8     18.43      1  32        0         0
#> 157   15.10      1  47        0         0
#> 23    16.92      1  61        0         0
#> 157.1 15.10      1  47        0         0
#> 105   19.75      1  60        0         0
#> 10    10.53      1  34        0         0
#> 117   17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 16     8.71      1  71        0         1
#> 150   20.33      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 194   22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 8.1   18.43      1  32        0         0
#> 101    9.97      1  10        0         1
#> 100   16.07      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 56    12.21      1  60        0         0
#> 170   19.54      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 99    21.19      1  38        0         1
#> 70     7.38      1  30        1         0
#> 50    10.02      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 179.1 18.63      1  42        0         0
#> 195   11.76      1  NA        1         0
#> 40.2  18.00      1  28        1         0
#> 100.1 16.07      1  60        0         0
#> 123   13.00      1  44        1         0
#> 39    15.59      1  37        0         1
#> 39.1  15.59      1  37        0         1
#> 6     15.64      1  39        0         0
#> 69    23.23      1  25        0         1
#> 57    14.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 195.1 11.76      1  NA        1         0
#> 194.1 22.40      1  38        0         1
#> 24    23.89      1  38        0         0
#> 177   12.53      1  75        0         0
#> 96    14.54      1  33        0         1
#> 40.3  18.00      1  28        1         0
#> 79    16.23      1  54        1         0
#> 23.1  16.92      1  61        0         0
#> 114.1 13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 26    15.77      1  49        0         1
#> 192   16.44      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 36    21.19      1  48        0         1
#> 18.1  15.21      1  49        1         0
#> 189.1 10.51      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 18.2  15.21      1  49        1         0
#> 56.1  12.21      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 194.2 22.40      1  38        0         1
#> 114.2 13.68      1  NA        0         0
#> 91.1   5.33      1  61        0         1
#> 169   22.41      1  46        0         0
#> 192.1 16.44      1  31        1         0
#> 18.3  15.21      1  49        1         0
#> 100.2 16.07      1  60        0         0
#> 30.1  17.43      1  78        0         0
#> 15    22.68      1  48        0         0
#> 166   19.98      1  48        0         0
#> 25     6.32      1  34        1         0
#> 89.1  11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 61    10.12      1  36        0         1
#> 108   18.29      1  39        0         1
#> 129.1 23.41      1  53        1         0
#> 13.1  14.34      1  54        0         1
#> 110   17.56      1  65        0         1
#> 150.1 20.33      1  48        0         0
#> 76.1  19.22      1  54        0         1
#> 189.2 10.51      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 199.1 19.81      1  NA        0         1
#> 50.1  10.02      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 181   16.46      1  45        0         1
#> 170.1 19.54      1  43        0         1
#> 59    10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 23.2  16.92      1  61        0         0
#> 36.1  21.19      1  48        0         1
#> 107   11.18      1  54        1         0
#> 6.1   15.64      1  39        0         0
#> 130   16.47      1  53        0         1
#> 39.2  15.59      1  37        0         1
#> 27    24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 17.1  24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 172   24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 122   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 104   24.00      0  50        1         0
#> 53    24.00      0  32        0         1
#> 109   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 161   24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 132   24.00      0  55        0         0
#> 178   24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 84    24.00      0  39        0         1
#> 126   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 27.1  24.00      0  63        1         0
#> 185.1 24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 44.1  24.00      0  56        0         0
#> 112.1 24.00      0  61        0         0
#> 1     24.00      0  23        1         0
#> 34    24.00      0  36        0         0
#> 28    24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 143   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 118.1 24.00      0  44        1         0
#> 135.1 24.00      0  58        1         0
#> 21    24.00      0  47        0         0
#> 161.1 24.00      0  45        0         0
#> 138.1 24.00      0  44        1         0
#> 104.1 24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 35.1  24.00      0  51        0         0
#> 138.2 24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 132.1 24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 17.2  24.00      0  38        0         1
#> 122.1 24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 46.1  24.00      0  71        0         0
#> 182.1 24.00      0  35        0         0
#> 67    24.00      0  25        0         0
#> 132.2 24.00      0  55        0         0
#> 1.1   24.00      0  23        1         0
#> 35.2  24.00      0  51        0         0
#> 44.2  24.00      0  56        0         0
#> 94    24.00      0  51        0         1
#> 9.1   24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 75.1  24.00      0  21        1         0
#> 54    24.00      0  53        1         0
#> 17.3  24.00      0  38        0         1
#> 20.1  24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 148   24.00      0  61        1         0
#> 172.1 24.00      0  41        0         0
#> 143.1 24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 132.3 24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.210          NA        NA      NA
#> 2 age, Cure model          0.00349        NA        NA      NA
#> 3 grade_ii, Cure model    -0.396          NA        NA      NA
#> 4 grade_iii, Cure model    0.929          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0166        NA        NA      NA
#> 2 grade_ii, Survival model    0.457         NA        NA      NA
#> 3 grade_iii, Survival model   0.257         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.210463          0.003493         -0.396235          0.928732  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.8 
#> Residual Deviance: 239.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.210463322      0.003492557     -0.396234951      0.928731552 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01663864       0.45682172       0.25670363 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6081151 0.6429166 0.7330493 0.7460892 0.8323042 0.7708118 0.9662369
#>   [8] 0.6911133 0.9623293 0.9464158 0.9299589 0.9171750 0.9083250 0.8994242
#>  [15] 0.6593556 0.8810279 0.7525153 0.8810279 0.5778780 0.9583887 0.7261731
#>  [22] 0.4546746 0.9816018 0.5449840 0.3890614 0.9341351 0.6834967 0.8624224
#>  [29] 0.6593556 0.9739662 0.8111154 0.6911133 0.9382757 0.5884026 0.9778124
#>  [36] 0.4701523 0.9853448 0.2090465 0.8055882 0.6429166 0.6911133 0.8111154
#>  [43] 0.9127745 0.8476073 0.8476073 0.8374537 0.3206307 0.8948644 0.6081151
#>  [50] 0.3890614 0.1228755 0.9215087 0.8902639 0.6911133 0.7999928 0.7525153
#>  [57] 0.5087191 0.8270303 0.7886129 0.9544356 0.9927607 0.4701523 0.8624224
#>  [64] 0.2696713 0.6260412 0.8624224 0.9382757 0.3890614 0.9927607 0.3679069
#>  [71] 0.7886129 0.8624224 0.8111154 0.7330493 0.3452557 0.5670143 0.9890651
#>  [78] 0.5212725 0.9701119 0.6755115 0.2696713 0.8994242 0.7192317 0.5449840
#>  [85] 0.6260412 0.4382798 0.9215087 0.7827629 0.5884026 0.5332705 0.7525153
#>  [92] 0.4701523 0.9504501 0.8374537 0.7768361 0.8476073 0.0000000 0.0000000
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    55   179    30    45   125   106    93    40    52    43    37   140   155 
#> 19.34 18.63 17.43 17.42 15.65 16.67 10.33 18.00 10.42 12.10 12.52 12.68 13.08 
#>    13     8   157    23 157.1   105    10   117   136    16   150   194    42 
#> 14.34 18.43 15.10 16.92 15.10 19.75 10.53 17.46 21.83  8.71 20.33 22.40 12.43 
#>    51    18   8.1   101   100  40.1    56   170   183    99    70    78   188 
#> 18.23 15.21 18.43  9.97 16.07 18.00 12.21 19.54  9.24 21.19  7.38 23.88 16.16 
#> 179.1  40.2 100.1   123    39  39.1     6    69    57  55.1 194.1    24   177 
#> 18.63 18.00 16.07 13.00 15.59 15.59 15.64 23.23 14.46 19.34 22.40 23.89 12.53 
#>    96  40.3    79  23.1    90    26   192   159    91    36  18.1   129    76 
#> 14.54 18.00 16.23 16.92 20.94 15.77 16.44 10.55  5.33 21.19 15.21 23.41 19.22 
#>  18.2  56.1 194.2  91.1   169 192.1  18.3 100.2  30.1    15   166    25    32 
#> 15.21 12.21 22.40  5.33 22.41 16.44 15.21 16.07 17.43 22.68 19.98  6.32 20.90 
#>    61   108 129.1  13.1   110 150.1  76.1   175 177.1   181 170.1    68  23.2 
#> 10.12 18.29 23.41 14.34 17.56 20.33 19.22 21.91 12.53 16.46 19.54 20.62 16.92 
#>  36.1   107   6.1   130  39.2    27    17  17.1   173   172   191   122    20 
#> 21.19 11.18 15.64 16.47 15.59 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104    53   109   112    65   135    46   185   116   161    64   132   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   156   121   138   193    84   126    95    44  27.1 185.1 156.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  65.1   118   176    11  44.1 112.1     1    34    28   143    35 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1    21 161.1 138.1 104.1   137  35.1 138.2    31    62 132.1     9    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2 122.1   182    47    12    75  46.1 182.1    67 132.2   1.1  35.2  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   9.1 116.1  75.1    54  17.3  20.1   174   148 172.1 143.1 178.1 132.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006596554               0.504681838               0.112986752 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.6532963               0.0100777               0.3838736 
#>   grade_iii, Cure model 
#>               0.9875037 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 76    19.22      1  54        0         1
#> 197   21.60      1  69        1         0
#> 86    23.81      1  58        0         1
#> 50    10.02      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 157   15.10      1  47        0         0
#> 101    9.97      1  10        0         1
#> 70     7.38      1  30        1         0
#> 15    22.68      1  48        0         0
#> 88    18.37      1  47        0         0
#> 8     18.43      1  32        0         0
#> 101.1  9.97      1  10        0         1
#> 195   11.76      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 111   17.45      1  47        0         1
#> 58    19.34      1  39        0         0
#> 41    18.02      1  40        1         0
#> 76.1  19.22      1  54        0         1
#> 149    8.37      1  33        1         0
#> 43    12.10      1  61        0         1
#> 29.1  15.45      1  68        1         0
#> 180   14.82      1  37        0         0
#> 69    23.23      1  25        0         1
#> 108   18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 51    18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 181   16.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 68    20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 184   17.77      1  38        0         0
#> 42    12.43      1  49        0         1
#> 70.1   7.38      1  30        1         0
#> 45    17.42      1  54        0         1
#> 10    10.53      1  34        0         0
#> 127    3.53      1  62        0         1
#> 29.2  15.45      1  68        1         0
#> 100   16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 25.1   6.32      1  34        1         0
#> 49    12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 25.2   6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 100.1 16.07      1  60        0         0
#> 106   16.67      1  49        1         0
#> 192   16.44      1  31        1         0
#> 184.1 17.77      1  38        0         0
#> 24    23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 99    21.19      1  38        0         1
#> 179   18.63      1  42        0         0
#> 128   20.35      1  35        0         1
#> 114   13.68      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 78    23.88      1  43        0         0
#> 184.2 17.77      1  38        0         0
#> 29.3  15.45      1  68        1         0
#> 57    14.46      1  45        0         1
#> 164.1 23.60      1  76        0         1
#> 81    14.06      1  34        0         0
#> 166   19.98      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 52.1  10.42      1  52        0         1
#> 128.1 20.35      1  35        0         1
#> 8.1   18.43      1  32        0         0
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 56    12.21      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 29.4  15.45      1  68        1         0
#> 8.2   18.43      1  32        0         0
#> 167   15.55      1  56        1         0
#> 16     8.71      1  71        0         1
#> 39    15.59      1  37        0         1
#> 30.1  17.43      1  78        0         0
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 45.1  17.42      1  54        0         1
#> 177   12.53      1  75        0         0
#> 150   20.33      1  48        0         0
#> 113   22.86      1  34        0         0
#> 153   21.33      1  55        1         0
#> 60    13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 169   22.41      1  46        0         0
#> 153.1 21.33      1  55        1         0
#> 180.1 14.82      1  37        0         0
#> 32.1  20.90      1  37        1         0
#> 57.1  14.46      1  45        0         1
#> 97.1  19.14      1  65        0         1
#> 128.2 20.35      1  35        0         1
#> 99.1  21.19      1  38        0         1
#> 123   13.00      1  44        1         0
#> 56.1  12.21      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 158   20.14      1  74        1         0
#> 157.1 15.10      1  47        0         0
#> 43.1  12.10      1  61        0         1
#> 145   10.07      1  65        1         0
#> 192.1 16.44      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 13.1  14.34      1  54        0         1
#> 197.1 21.60      1  69        1         0
#> 129   23.41      1  53        1         0
#> 126   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 64    24.00      0  43        0         0
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 87    24.00      0  27        0         0
#> 47    24.00      0  38        0         1
#> 2.1   24.00      0   9        0         0
#> 138   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 98    24.00      0  34        1         0
#> 94    24.00      0  51        0         1
#> 80    24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 173   24.00      0  19        0         1
#> 122   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 53    24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 126.1 24.00      0  48        0         0
#> 21.1  24.00      0  47        0         0
#> 2.2   24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 161   24.00      0  45        0         0
#> 104   24.00      0  50        1         0
#> 53.1  24.00      0  32        0         1
#> 163   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 73    24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 98.1  24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 116   24.00      0  58        0         1
#> 141.1 24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 62.1  24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 82.1  24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 21.2  24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 122.2 24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 163.1 24.00      0  66        0         0
#> 82.2  24.00      0  34        0         0
#> 173.1 24.00      0  19        0         1
#> 20    24.00      0  46        1         0
#> 28    24.00      0  67        1         0
#> 11.1  24.00      0  42        0         1
#> 28.1  24.00      0  67        1         0
#> 54    24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 200.1 24.00      0  64        0         0
#> 44    24.00      0  56        0         0
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 27    24.00      0  63        1         0
#> 200.2 24.00      0  64        0         0
#> 182   24.00      0  35        0         0
#> 152   24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 186.2 24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 62.2  24.00      0  71        0         0
#> 198   24.00      0  66        0         1
#> 9     24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.653         NA        NA      NA
#> 2 age, Cure model           0.0101        NA        NA      NA
#> 3 grade_ii, Cure model      0.384         NA        NA      NA
#> 4 grade_iii, Cure model     0.988         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00660        NA        NA      NA
#> 2 grade_ii, Survival model   0.505          NA        NA      NA
#> 3 grade_iii, Survival model  0.113          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.65330           0.01008           0.38387           0.98750  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.6532963        0.0100777        0.3838736        0.9875037 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006596554      0.504681838      0.112986752 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.558079351 0.729878355 0.240600795 0.097824631 0.013575164 0.013575164
#>   [7] 0.606886107 0.885824509 0.927852231 0.072409401 0.312593384 0.285381185
#>  [13] 0.885824509 0.948615910 0.388390741 0.231764397 0.350452384 0.240600795
#>  [19] 0.917326611 0.802183932 0.558079351 0.627078722 0.049119077 0.331302859
#>  [25] 0.398137208 0.340830219 0.026104911 0.467885744 0.258223853 0.164174329
#>  [31] 0.647413189 0.360003167 0.760750942 0.927852231 0.417773621 0.822971133
#>  [37] 0.989619371 0.558079351 0.517538844 0.843864384 0.948615910 0.791790252
#>  [43] 0.740193923 0.948615910 0.072409401 0.517538844 0.447722263 0.478020405
#>  [49] 0.360003167 0.001954865 0.223003796 0.131180618 0.276179085 0.172605232
#>  [55] 0.147949976 0.007065372 0.360003167 0.558079351 0.657677691 0.026104911
#>  [61] 0.698762776 0.214296898 0.822971133 0.457787825 0.843864384 0.172605232
#>  [67] 0.285381185 0.478020405 0.507486065 0.771083467 0.312593384 0.558079351
#>  [73] 0.285381185 0.547904769 0.906760692 0.537702751 0.398137208 0.979266566
#>  [79] 0.437611488 0.417773621 0.750444961 0.197067136 0.064172341 0.114684966
#>  [85] 0.709175856 0.678153039 0.088918565 0.114684966 0.627078722 0.147949976
#>  [91] 0.657677691 0.258223853 0.172605232 0.131180618 0.719544911 0.771083467
#>  [97] 0.049119077 0.205684998 0.606886107 0.802183932 0.864864500 0.478020405
#> [103] 0.864864500 0.678153039 0.097824631 0.041063677 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    29   140    76   197    86  86.1   157   101    70    15    88     8 101.1 
#> 15.45 12.68 19.22 21.60 23.81 23.81 15.10  9.97  7.38 22.68 18.37 18.43  9.97 
#>    25   111    58    41  76.1   149    43  29.1   180    69   108    30    51 
#>  6.32 17.45 19.34 18.02 19.22  8.37 12.10 15.45 14.82 23.23 18.29 17.43 18.23 
#>   164   181    97    68    96   184    42  70.1    45    10   127  29.2   100 
#> 23.60 16.46 19.14 20.62 14.54 17.77 12.43  7.38 17.42 10.53  3.53 15.45 16.07 
#>    52  25.1    49   154  25.2  15.1 100.1   106   192 184.1    24   170    99 
#> 10.42  6.32 12.19 12.63  6.32 22.68 16.07 16.67 16.44 17.77 23.89 19.54 21.19 
#>   179   128    32    78 184.2  29.3    57 164.1    81   166  10.1   171  52.1 
#> 18.63 20.35 20.90 23.88 17.77 15.45 14.46 23.60 14.06 19.98 10.53 16.57 10.42 
#> 128.1   8.1    85   188    56  88.1  29.4   8.2   167    16    39  30.1    91 
#> 20.35 18.43 16.44 16.16 12.21 18.37 15.45 18.43 15.55  8.71 15.59 17.43  5.33 
#>    23  45.1   177   150   113   153    60    13   169 153.1 180.1  32.1  57.1 
#> 16.92 17.42 12.53 20.33 22.86 21.33 13.15 14.34 22.41 21.33 14.82 20.90 14.46 
#>  97.1 128.2  99.1   123  56.1  69.1   158 157.1  43.1   145 192.1 145.1  13.1 
#> 19.14 20.35 21.19 13.00 12.21 23.23 20.14 15.10 12.10 10.07 16.44 10.07 14.34 
#> 197.1   129   126    95   193    64    31     2    87    47   2.1   138   141 
#> 21.60 23.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   178    21    71   142    62   132    98    94    80    82   173   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    83    53   185    33   200   165 126.1  21.1   2.2   143   144   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104  53.1   163   172    11    48 172.1 122.1   196  98.1    12   116 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1  62.1  82.1 132.1  21.2     3   112 122.2   147 163.1  82.2 173.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  11.1  28.1    54    67 200.1    44   137    75    27 200.2   182   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1 178.1 186.2   118  62.2   198     9    17   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01753056                0.90741521                0.12471395 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.49736276              0.01291546             -0.40033090 
#>   grade_iii, Cure model 
#>              1.08908441 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 123   13.00      1  44        1         0
#> 6     15.64      1  39        0         0
#> 150   20.33      1  48        0         0
#> 190   20.81      1  42        1         0
#> 133   14.65      1  57        0         0
#> 61    10.12      1  36        0         1
#> 113   22.86      1  34        0         0
#> 149    8.37      1  33        1         0
#> 167   15.55      1  56        1         0
#> 181   16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 184   17.77      1  38        0         0
#> 97    19.14      1  65        0         1
#> 168   23.72      1  70        0         0
#> 76    19.22      1  54        0         1
#> 79    16.23      1  54        1         0
#> 96    14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 134   17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 25     6.32      1  34        1         0
#> 68    20.62      1  44        0         0
#> 180   14.82      1  37        0         0
#> 6.1   15.64      1  39        0         0
#> 92    22.92      1  47        0         1
#> 42    12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 195   11.76      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 23    16.92      1  61        0         0
#> 49    12.19      1  48        1         0
#> 88    18.37      1  47        0         0
#> 60    13.15      1  38        1         0
#> 10    10.53      1  34        0         0
#> 79.1  16.23      1  54        1         0
#> 16     8.71      1  71        0         1
#> 130.1 16.47      1  53        0         1
#> 97.1  19.14      1  65        0         1
#> 15    22.68      1  48        0         0
#> 149.1  8.37      1  33        1         0
#> 99    21.19      1  38        0         1
#> 68.1  20.62      1  44        0         0
#> 114   13.68      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 166   19.98      1  48        0         0
#> 167.1 15.55      1  56        1         0
#> 197   21.60      1  69        1         0
#> 26    15.77      1  49        0         1
#> 57    14.46      1  45        0         1
#> 114.1 13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 106   16.67      1  49        1         0
#> 70     7.38      1  30        1         0
#> 81    14.06      1  34        0         0
#> 155   13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 92.1  22.92      1  47        0         1
#> 158   20.14      1  74        1         0
#> 14    12.89      1  21        0         0
#> 55    19.34      1  69        0         1
#> 139   21.49      1  63        1         0
#> 6.2   15.64      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 29    15.45      1  68        1         0
#> 183    9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 26.1  15.77      1  49        0         1
#> 66    22.13      1  53        0         0
#> 99.1  21.19      1  38        0         1
#> 175   21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 188.1 16.16      1  46        0         1
#> 42.1  12.43      1  49        0         1
#> 91     5.33      1  61        0         1
#> 192   16.44      1  31        1         0
#> 158.1 20.14      1  74        1         0
#> 125   15.65      1  67        1         0
#> 128   20.35      1  35        0         1
#> 187.1  9.92      1  39        1         0
#> 90    20.94      1  50        0         1
#> 18    15.21      1  49        1         0
#> 154   12.63      1  20        1         0
#> 32    20.90      1  37        1         0
#> 171   16.57      1  41        0         1
#> 30    17.43      1  78        0         0
#> 18.1  15.21      1  49        1         0
#> 169   22.41      1  46        0         0
#> 145   10.07      1  65        1         0
#> 92.2  22.92      1  47        0         1
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 171.1 16.57      1  41        0         1
#> 167.2 15.55      1  56        1         0
#> 177   12.53      1  75        0         0
#> 6.3   15.64      1  39        0         0
#> 105.1 19.75      1  60        0         0
#> 26.2  15.77      1  49        0         1
#> 77     7.27      1  67        0         1
#> 150.1 20.33      1  48        0         0
#> 111.1 17.45      1  47        0         1
#> 110.1 17.56      1  65        0         1
#> 188.2 16.16      1  46        0         1
#> 108   18.29      1  39        0         1
#> 69    23.23      1  25        0         1
#> 199   19.81      1  NA        0         1
#> 168.2 23.72      1  70        0         0
#> 60.1  13.15      1  38        1         0
#> 194   22.40      1  38        0         1
#> 110.2 17.56      1  65        0         1
#> 166.1 19.98      1  48        0         0
#> 34    24.00      0  36        0         0
#> 44    24.00      0  56        0         0
#> 7     24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 147   24.00      0  76        1         0
#> 178   24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 186   24.00      0  45        1         0
#> 34.1  24.00      0  36        0         0
#> 46    24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 148   24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 178.2 24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 185.1 24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 19    24.00      0  57        0         1
#> 160   24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 3     24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 121.1 24.00      0  57        1         0
#> 174.1 24.00      0  49        1         0
#> 162   24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 135   24.00      0  58        1         0
#> 120   24.00      0  68        0         1
#> 9.1   24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 12    24.00      0  63        0         0
#> 148.1 24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 121.2 24.00      0  57        1         0
#> 87.1  24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 17    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 148.2 24.00      0  61        1         0
#> 38    24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 34.2  24.00      0  36        0         0
#> 62.1  24.00      0  71        0         0
#> 200.1 24.00      0  64        0         0
#> 112   24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 38.1  24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 138   24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 38.2  24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 71    24.00      0  51        0         0
#> 7.2   24.00      0  37        1         0
#> 54.1  24.00      0  53        1         0
#> 143.1 24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 20    24.00      0  46        1         0
#> 196.2 24.00      0  19        0         0
#> 172   24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 38.3  24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 20.1  24.00      0  46        1         0
#> 109   24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 185.2 24.00      0  44        1         0
#> 160.1 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.497         NA        NA      NA
#> 2 age, Cure model           0.0129        NA        NA      NA
#> 3 grade_ii, Cure model     -0.400         NA        NA      NA
#> 4 grade_iii, Cure model     1.09          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0175        NA        NA      NA
#> 2 grade_ii, Survival model    0.907         NA        NA      NA
#> 3 grade_iii, Survival model   0.125         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.49736           0.01292          -0.40033           1.08908  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 248.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.49736276       0.01291546      -0.40033090       1.08908441 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01753056       0.90741521       0.12471395 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 4.869620e-01 7.077939e-01 4.389497e-01 7.437931e-02 5.469372e-02
#>   [6] 6.133404e-01 8.177454e-01 6.630955e-03 9.022120e-01 4.995680e-01
#>  [11] 3.168069e-01 8.460189e-01 1.838700e-01 1.364231e-01 4.468503e-05
#>  [16] 1.291608e-01 3.385469e-01 6.266640e-01 1.089341e-01 1.758183e-01
#>  [21] 1.677343e-01 9.582148e-01 5.937054e-02 6.001972e-01 4.389497e-01
#>  [26] 2.520271e-03 7.622210e-01 2.956360e-01 3.598365e-01 2.454991e-01
#>  [31] 7.898227e-01 1.515617e-01 6.673510e-01 8.037296e-01 3.385469e-01
#>  [36] 8.879665e-01 2.956360e-01 1.364231e-01 8.719490e-03 9.022120e-01
#>  [41] 3.627886e-02 5.937054e-02 2.454991e-01 9.671104e-02 4.995680e-01
#>  [46] 2.792111e-02 3.927153e-01 6.400917e-01 2.177503e-01 2.652327e-01
#>  [51] 9.301373e-01 6.536576e-01 6.941601e-01 9.582148e-01 2.520271e-03
#>  [56] 8.530866e-02 7.213896e-01 1.221205e-01 3.205096e-02 4.389497e-01
#>  [61] 4.468503e-05 5.366366e-01 8.738734e-01 1.920971e-01 3.927153e-01
#>  [66] 1.689243e-02 3.627886e-02 2.025638e-02 2.394540e-02 3.598365e-01
#>  [71] 7.622210e-01 9.859246e-01 3.277560e-01 8.530866e-02 4.270921e-01
#>  [76] 6.915311e-02 8.460189e-01 4.505206e-02 5.493632e-01 7.350646e-01
#>  [81] 4.994137e-02 2.752713e-01 2.359412e-01 5.493632e-01 1.113915e-02
#>  [86] 8.318572e-01 2.520271e-03 5.744646e-01 5.744646e-01 2.752713e-01
#>  [91] 4.995680e-01 7.485527e-01 4.389497e-01 1.089341e-01 3.927153e-01
#>  [96] 9.441082e-01 7.437931e-02 2.177503e-01 1.920971e-01 3.598365e-01
#> [101] 1.595602e-01 1.354375e-03 4.468503e-05 6.673510e-01 1.389087e-02
#> [106] 1.920971e-01 9.671104e-02 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    39   123     6   150   190   133    61   113   149   167   181   187   184 
#> 15.59 13.00 15.64 20.33 20.81 14.65 10.12 22.86  8.37 15.55 16.46  9.92 17.77 
#>    97   168    76    79    96   105   134    41    25    68   180   6.1    92 
#> 19.14 23.72 19.22 16.23 14.54 19.75 17.81 18.02  6.32 20.62 14.82 15.64 22.92 
#>    42   130   188    23    49    88    60    10  79.1    16 130.1  97.1    15 
#> 12.43 16.47 16.16 16.92 12.19 18.37 13.15 10.53 16.23  8.71 16.47 19.14 22.68 
#> 149.1    99  68.1  23.1   166 167.1   197    26    57   111   106    70    81 
#>  8.37 21.19 20.62 16.92 19.98 15.55 21.60 15.77 14.46 17.45 16.67  7.38 14.06 
#>   155  25.1  92.1   158    14    55   139   6.2 168.1    29   183   110  26.1 
#> 13.08  6.32 22.92 20.14 12.89 19.34 21.49 15.64 23.72 15.45  9.24 17.56 15.77 
#>    66  99.1   175   136 188.1  42.1    91   192 158.1   125   128 187.1    90 
#> 22.13 21.19 21.91 21.83 16.16 12.43  5.33 16.44 20.14 15.65 20.35  9.92 20.94 
#>    18   154    32   171    30  18.1   169   145  92.2   157 157.1 171.1 167.2 
#> 15.21 12.63 20.90 16.57 17.43 15.21 22.41 10.07 22.92 15.10 15.10 16.57 15.55 
#>   177   6.3 105.1  26.2    77 150.1 111.1 110.1 188.2   108    69 168.2  60.1 
#> 12.53 15.64 19.75 15.77  7.27 20.33 17.45 17.56 16.16 18.29 23.23 23.72 13.15 
#>   194 110.2 166.1    34    44     7   147   178    87   186  34.1    46   176 
#> 22.40 17.56 19.98 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    11    48 178.1   152   185   148   141   143    75    98   174 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1 185.1   165   142   121   196    19   160     9   7.1     3 196.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1 174.1   162    53   135   120   9.1 135.1    12 148.1    65    74   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.2  87.1    84    17    33    62 148.2    38   163   146  34.2  62.1 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    22  38.1   161   138  44.1  38.2    28    71   7.2  54.1 143.1   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20 196.2   172  84.1  38.3    80  20.1   109    94 185.2 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007215037               0.614221043               0.321005863 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.84014251              0.02079323             -0.01587084 
#>   grade_iii, Cure model 
#>              0.29392190 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 154   12.63      1  20        1         0
#> 171   16.57      1  41        0         1
#> 60    13.15      1  38        1         0
#> 195   11.76      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 169   22.41      1  46        0         0
#> 124    9.73      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 10    10.53      1  34        0         0
#> 106   16.67      1  49        1         0
#> 167   15.55      1  56        1         0
#> 42    12.43      1  49        0         1
#> 6     15.64      1  39        0         0
#> 171.1 16.57      1  41        0         1
#> 183    9.24      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 128   20.35      1  35        0         1
#> 55    19.34      1  69        0         1
#> 18    15.21      1  49        1         0
#> 190   20.81      1  42        1         0
#> 164   23.60      1  76        0         1
#> 111   17.45      1  47        0         1
#> 13    14.34      1  54        0         1
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 129   23.41      1  53        1         0
#> 125   15.65      1  67        1         0
#> 8     18.43      1  32        0         0
#> 107   11.18      1  54        1         0
#> 157   15.10      1  47        0         0
#> 180   14.82      1  37        0         0
#> 77     7.27      1  67        0         1
#> 52.1  10.42      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 43    12.10      1  61        0         1
#> 158   20.14      1  74        1         0
#> 155   13.08      1  26        0         0
#> 93    10.33      1  52        0         1
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 100   16.07      1  60        0         0
#> 180.1 14.82      1  37        0         0
#> 157.1 15.10      1  47        0         0
#> 190.1 20.81      1  42        1         0
#> 134   17.81      1  47        1         0
#> 164.1 23.60      1  76        0         1
#> 190.2 20.81      1  42        1         0
#> 128.1 20.35      1  35        0         1
#> 183.2  9.24      1  67        1         0
#> 133   14.65      1  57        0         0
#> 179   18.63      1  42        0         0
#> 108   18.29      1  39        0         1
#> 106.1 16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 42.1  12.43      1  49        0         1
#> 106.2 16.67      1  49        1         0
#> 77.1   7.27      1  67        0         1
#> 183.3  9.24      1  67        1         0
#> 68    20.62      1  44        0         0
#> 149    8.37      1  33        1         0
#> 25     6.32      1  34        1         0
#> 39    15.59      1  37        0         1
#> 13.1  14.34      1  54        0         1
#> 167.1 15.55      1  56        1         0
#> 192   16.44      1  31        1         0
#> 188.1 16.16      1  46        0         1
#> 105   19.75      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 164.2 23.60      1  76        0         1
#> 158.1 20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 78.1  23.88      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 168   23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 56    12.21      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 86.1  23.81      1  58        0         1
#> 96.1  14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 177   12.53      1  75        0         0
#> 180.2 14.82      1  37        0         0
#> 170.1 19.54      1  43        0         1
#> 93.1  10.33      1  52        0         1
#> 128.2 20.35      1  35        0         1
#> 78.2  23.88      1  43        0         0
#> 91     5.33      1  61        0         1
#> 179.1 18.63      1  42        0         0
#> 39.1  15.59      1  37        0         1
#> 157.2 15.10      1  47        0         0
#> 155.1 13.08      1  26        0         0
#> 49    12.19      1  48        1         0
#> 108.1 18.29      1  39        0         1
#> 134.1 17.81      1  47        1         0
#> 158.2 20.14      1  74        1         0
#> 140.1 12.68      1  59        1         0
#> 58.1  19.34      1  39        0         0
#> 8.1   18.43      1  32        0         0
#> 181   16.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 158.3 20.14      1  74        1         0
#> 179.2 18.63      1  42        0         0
#> 116   24.00      0  58        0         1
#> 146   24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 122.1 24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 122.2 24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 2.1   24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 138.1 24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 67    24.00      0  25        0         0
#> 141   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 182.1 24.00      0  35        0         0
#> 65    24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 176   24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 122.3 24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 115   24.00      0  NA        1         0
#> 112   24.00      0  61        0         0
#> 176.1 24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 48.1  24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 11    24.00      0  42        0         1
#> 94    24.00      0  51        0         1
#> 104   24.00      0  50        1         0
#> 74.1  24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 176.2 24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 135.1 24.00      0  58        1         0
#> 135.2 24.00      0  58        1         0
#> 35.1  24.00      0  51        0         0
#> 141.1 24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 115.1 24.00      0  NA        1         0
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 54.1  24.00      0  53        1         0
#> 71    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 116.1 24.00      0  58        0         1
#> 11.1  24.00      0  42        0         1
#> 116.2 24.00      0  58        0         1
#> 20.1  24.00      0  46        1         0
#> 28.1  24.00      0  67        1         0
#> 65.1  24.00      0  57        1         0
#> 94.1  24.00      0  51        0         1
#> 141.2 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 144.1 24.00      0  28        0         1
#> 116.3 24.00      0  58        0         1
#> 17    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 82.1  24.00      0  34        0         0
#> 196   24.00      0  19        0         0
#> 138.2 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 83.2  24.00      0   6        0         0
#> 87    24.00      0  27        0         0
#> 82.2  24.00      0  34        0         0
#> 54.2  24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 198   24.00      0  66        0         1
#> 80.1  24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 83.3  24.00      0   6        0         0
#> 34.1  24.00      0  36        0         0
#> 87.1  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.840         NA        NA      NA
#> 2 age, Cure model           0.0208        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0159        NA        NA      NA
#> 4 grade_iii, Cure model     0.294         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00722        NA        NA      NA
#> 2 grade_ii, Survival model   0.614          NA        NA      NA
#> 3 grade_iii, Survival model  0.321          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.84014           0.02079          -0.01587           0.29392  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 256.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.84014251       0.02079323      -0.01587084       0.29392190 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007215037      0.614221043      0.321005863 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.012010473 0.792185279 0.472023342 0.744708965 0.405205804 0.118824099
#>   [7] 0.773260428 0.868102535 0.444022113 0.594329723 0.811135069 0.566123359
#>  [13] 0.472023342 0.915547656 0.915547656 0.877619981 0.033092033 0.216310282
#>  [19] 0.308407651 0.622288438 0.169874206 0.060591635 0.434298607 0.716148153
#>  [25] 0.289611630 0.735129263 0.089154582 0.556696715 0.365676852 0.858607735
#>  [31] 0.631601556 0.659480572 0.962322455 0.877619981 0.308407651 0.528624867
#>  [37] 0.849086421 0.244124052 0.754239017 0.896573235 0.697200369 0.138977743
#>  [43] 0.547247713 0.659480572 0.631601556 0.169874206 0.415076943 0.060591635
#>  [49] 0.169874206 0.216310282 0.915547656 0.687638618 0.336723457 0.385461691
#>  [55] 0.444022113 0.118824099 0.811135069 0.444022113 0.962322455 0.915547656
#>  [61] 0.197171039 0.952889432 0.981151107 0.575588662 0.716148153 0.594329723
#>  [67] 0.500373165 0.528624867 0.280049373 0.197171039 0.060591635 0.244124052
#>  [73] 0.519233608 0.012010473 0.099596891 0.050310063 0.509799383 0.830034540
#>  [79] 0.099596891 0.159605234 0.149352973 0.033092033 0.697200369 0.612933628
#>  [85] 0.801636773 0.659480572 0.289611630 0.896573235 0.216310282 0.012010473
#>  [91] 0.990570519 0.336723457 0.575588662 0.631601556 0.754239017 0.839577082
#>  [97] 0.385461691 0.415076943 0.244124052 0.773260428 0.308407651 0.365676852
#> [103] 0.490861339 0.003223084 0.244124052 0.336723457 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    78   154   171    60    40   169   140    10   106   167    42     6 171.1 
#> 23.88 12.63 16.57 13.15 18.00 22.41 12.68 10.53 16.67 15.55 12.43 15.64 16.57 
#>   183 183.1    52    86   128    55    18   190   164   111    13   170    81 
#>  9.24  9.24 10.42 23.81 20.35 19.34 15.21 20.81 23.60 17.45 14.34 19.54 14.06 
#>   129   125     8   107   157   180    77  52.1    58   188    43   158   155 
#> 23.41 15.65 18.43 11.18 15.10 14.82  7.27 10.42 19.34 16.16 12.10 20.14 13.08 
#>    93    96   197   100 180.1 157.1 190.1   134 164.1 190.2 128.1 183.2   133 
#> 10.33 14.54 21.60 16.07 14.82 15.10 20.81 17.81 23.60 20.81 20.35  9.24 14.65 
#>   179   108 106.1 169.1  42.1 106.2  77.1 183.3    68   149    25    39  13.1 
#> 18.63 18.29 16.67 22.41 12.43 16.67  7.27  9.24 20.62  8.37  6.32 15.59 14.34 
#> 167.1   192 188.1   105  68.1 164.2 158.1    79  78.1    69   168     5    56 
#> 15.55 16.44 16.16 19.75 20.62 23.60 20.14 16.23 23.88 23.23 23.72 16.43 12.21 
#>  69.1    36   139  86.1  96.1    29   177 180.2 170.1  93.1 128.2  78.2    91 
#> 23.23 21.19 21.49 23.81 14.54 15.45 12.53 14.82 19.54 10.33 20.35 23.88  5.33 
#> 179.1  39.1 157.2 155.1    49 108.1 134.1 158.2 140.1  58.1   8.1   181    24 
#> 18.63 15.59 15.10 13.08 12.19 18.29 17.81 20.14 12.68 19.34 18.43 16.46 23.89 
#> 158.3 179.2   116   146   138    34   122 122.1   182 122.2    80     2   172 
#> 20.14 18.63 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1    48    75   173 138.1   193    67   141    95   135 182.1    65   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   118    74   137 122.3   165    20   112 176.1   148  48.1    44    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   104  74.1    35 176.2    54 135.1 135.2  35.1 141.1   147    83  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  54.1    71   119 116.1  11.1 116.2  20.1  28.1  65.1  94.1 141.2    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1 116.3    17    31   120  82.1   196 138.2    84  83.2    87  82.2  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    72   198  80.1    46   191  83.3  34.1  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006220031               0.744513715               0.221466101 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.02937457              0.01167812              0.70174085 
#>   grade_iii, Cure model 
#>              1.29839641 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 168   23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 187    9.92      1  39        1         0
#> 81    14.06      1  34        0         0
#> 154   12.63      1  20        1         0
#> 194   22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 199   19.81      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 79    16.23      1  54        1         0
#> 29    15.45      1  68        1         0
#> 37    12.52      1  57        1         0
#> 13    14.34      1  54        0         1
#> 39    15.59      1  37        0         1
#> 134   17.81      1  47        1         0
#> 139   21.49      1  63        1         0
#> 199.1 19.81      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 85    16.44      1  36        0         0
#> 125   15.65      1  67        1         0
#> 97    19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 39.1  15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 179   18.63      1  42        0         0
#> 50    10.02      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 114   13.68      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 40    18.00      1  28        1         0
#> 37.1  12.52      1  57        1         0
#> 97.1  19.14      1  65        0         1
#> 164   23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 136   21.83      1  43        0         1
#> 25     6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 37.2  12.52      1  57        1         0
#> 123   13.00      1  44        1         0
#> 107   11.18      1  54        1         0
#> 96    14.54      1  33        0         1
#> 5.1   16.43      1  51        0         1
#> 189.1 10.51      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 5.2   16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 190   20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 39.2  15.59      1  37        0         1
#> 39.3  15.59      1  37        0         1
#> 130.1 16.47      1  53        0         1
#> 49.1  12.19      1  48        1         0
#> 79.1  16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 45    17.42      1  54        0         1
#> 32    20.90      1  37        1         0
#> 63    22.77      1  31        1         0
#> 155   13.08      1  26        0         0
#> 39.4  15.59      1  37        0         1
#> 164.1 23.60      1  76        0         1
#> 190.1 20.81      1  42        1         0
#> 14.1  12.89      1  21        0         0
#> 190.2 20.81      1  42        1         0
#> 24    23.89      1  38        0         0
#> 90    20.94      1  50        0         1
#> 123.1 13.00      1  44        1         0
#> 124    9.73      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 18    15.21      1  49        1         0
#> 189.2 10.51      1  NA        1         0
#> 164.2 23.60      1  76        0         1
#> 69    23.23      1  25        0         1
#> 29.1  15.45      1  68        1         0
#> 106.1 16.67      1  49        1         0
#> 30    17.43      1  78        0         0
#> 166   19.98      1  48        0         0
#> 49.2  12.19      1  48        1         0
#> 177.1 12.53      1  75        0         0
#> 81.1  14.06      1  34        0         0
#> 183    9.24      1  67        1         0
#> 55.1  19.34      1  69        0         1
#> 23.1  16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 36.1  21.19      1  48        0         1
#> 113   22.86      1  34        0         0
#> 85.1  16.44      1  36        0         0
#> 16     8.71      1  71        0         1
#> 154.1 12.63      1  20        1         0
#> 66.1  22.13      1  53        0         0
#> 101    9.97      1  10        0         1
#> 90.1  20.94      1  50        0         1
#> 105   19.75      1  60        0         0
#> 43    12.10      1  61        0         1
#> 114.1 13.68      1  NA        0         0
#> 130.2 16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 69.1  23.23      1  25        0         1
#> 24.1  23.89      1  38        0         0
#> 79.2  16.23      1  54        1         0
#> 101.1  9.97      1  10        0         1
#> 55.2  19.34      1  69        0         1
#> 167   15.55      1  56        1         0
#> 139.1 21.49      1  63        1         0
#> 128   20.35      1  35        0         1
#> 194.1 22.40      1  38        0         1
#> 106.2 16.67      1  49        1         0
#> 127    3.53      1  62        0         1
#> 86    23.81      1  58        0         1
#> 173   24.00      0  19        0         1
#> 165   24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 80    24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 185   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 144   24.00      0  28        0         1
#> 160   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 34    24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 137   24.00      0  45        1         0
#> 34.1  24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 173.1 24.00      0  19        0         1
#> 34.2  24.00      0  36        0         0
#> 165.1 24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 11    24.00      0  42        0         1
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 34.3  24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 115.2 24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 122   24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 9.1   24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 103.1 24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 75.1  24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 19    24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 83    24.00      0   6        0         0
#> 185.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 122.1 24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 33.1  24.00      0  53        0         0
#> 116.2 24.00      0  58        0         1
#> 22    24.00      0  52        1         0
#> 27    24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 182.1 24.00      0  35        0         0
#> 122.2 24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 198.1 24.00      0  66        0         1
#> 1     24.00      0  23        1         0
#> 95.1  24.00      0  68        0         1
#> 182.2 24.00      0  35        0         0
#> 151.1 24.00      0  42        0         0
#> 75.2  24.00      0  21        1         0
#> 84    24.00      0  39        0         1
#> 2.1   24.00      0   9        0         0
#> 152   24.00      0  36        0         1
#> 17.1  24.00      0  38        0         1
#> 17.2  24.00      0  38        0         1
#> 34.4  24.00      0  36        0         0
#> 165.2 24.00      0  47        0         0
#> 34.5  24.00      0  36        0         0
#> 104   24.00      0  50        1         0
#> 112   24.00      0  61        0         0
#> 135.1 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.03          NA        NA      NA
#> 2 age, Cure model           0.0117        NA        NA      NA
#> 3 grade_ii, Cure model      0.702         NA        NA      NA
#> 4 grade_iii, Cure model     1.30          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00622        NA        NA      NA
#> 2 grade_ii, Survival model   0.745          NA        NA      NA
#> 3 grade_iii, Survival model  0.221          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.02937           0.01168           0.70174           1.29840  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 243.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.02937457       0.01167812       0.70174085       1.29839641 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006220031      0.744513715      0.221466101 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.138153997 0.030103483 0.547621825 0.955987506 0.747095929 0.812444676
#>   [7] 0.117076901 0.876055535 0.830673378 0.576804122 0.700137188 0.849052451
#>  [13] 0.737697425 0.643803290 0.401392320 0.182817380 0.499267207 0.528086113
#>  [19] 0.624567564 0.361410719 0.920452647 0.643803290 0.351415826 0.381305649
#>  [25] 0.440935147 0.203463730 0.391448026 0.849052451 0.361410719 0.041580938
#>  [31] 0.793857718 0.411197747 0.160179698 0.982454365 0.605260180 0.849052451
#>  [37] 0.775323913 0.911547852 0.728311849 0.547621825 0.460909557 0.547621825
#>  [43] 0.614907813 0.265182454 0.634169716 0.171636690 0.643803290 0.643803290
#>  [49] 0.499267207 0.876055535 0.576804122 0.322362698 0.430976365 0.254796596
#>  [55] 0.106052325 0.765864169 0.643803290 0.041580938 0.265182454 0.793857718
#>  [61] 0.265182454 0.005638809 0.233887107 0.775323913 0.203463730 0.718924299
#>  [67] 0.041580938 0.072253842 0.700137188 0.460909557 0.421042410 0.302819912
#>  [73] 0.876055535 0.830673378 0.747095929 0.964825395 0.322362698 0.440935147
#>  [79] 0.489528854 0.203463730 0.094116414 0.528086113 0.973631995 0.812444676
#>  [85] 0.138153997 0.938287255 0.233887107 0.312543721 0.902598931 0.499267207
#>  [91] 0.929365804 0.072253842 0.005638809 0.576804122 0.938287255 0.322362698
#>  [97] 0.690581868 0.182817380 0.293176054 0.117076901 0.460909557 0.991221304
#> [103] 0.020011449 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    66   168     5   187    81   154   194    49   177    79    29    37    13 
#> 22.13 23.72 16.43  9.92 14.06 12.63 22.40 12.19 12.53 16.23 15.45 12.52 14.34 
#>    39   134   139   130    85   125    97    52  39.1    76   179    23    36 
#> 15.59 17.81 21.49 16.47 16.44 15.65 19.14 10.42 15.59 19.22 18.63 16.92 21.19 
#>    40  37.1  97.1   164    14   110   136    25   188  37.2   123   107    96 
#> 18.00 12.52 19.14 23.60 12.89 17.56 21.83  6.32 16.16 12.52 13.00 11.18 14.54 
#>   5.1   106   5.2    26   190     6   197  39.2  39.3 130.1  49.1  79.1    55 
#> 16.43 16.67 16.43 15.77 20.81 15.64 21.60 15.59 15.59 16.47 12.19 16.23 19.34 
#>    45    32    63   155  39.4 164.1 190.1  14.1 190.2    24    90 123.1    99 
#> 17.42 20.90 22.77 13.08 15.59 23.60 20.81 12.89 20.81 23.89 20.94 13.00 21.19 
#>    18 164.2    69  29.1 106.1    30   166  49.2 177.1  81.1   183  55.1  23.1 
#> 15.21 23.60 23.23 15.45 16.67 17.43 19.98 12.19 12.53 14.06  9.24 19.34 16.92 
#>   171  36.1   113  85.1    16 154.1  66.1   101  90.1   105    43 130.2    93 
#> 16.57 21.19 22.86 16.44  8.71 12.63 22.13  9.97 20.94 19.75 12.10 16.47 10.33 
#>  69.1  24.1  79.2 101.1  55.2   167 139.1   128 194.1 106.2   127    86   173 
#> 23.23 23.89 16.23  9.97 19.34 15.55 21.49 20.35 22.40 16.67  3.53 23.81 24.00 
#>   165    64    21    80   120   172   141 141.1   186    20   185    75   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    98   116    33   182    34   132   137  34.1   147 173.1  34.2 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1   151    46    11   103     9  34.3   163    38   118    95    35    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   198   9.1 172.1     2 144.1 103.1    17  12.1  75.1   191    19    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83 185.1 122.1 116.1  33.1 116.2    22    27   126   135   174 182.1 122.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1 198.1     1  95.1 182.2 151.1  75.2    84   2.1   152  17.1  17.2  34.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.2  34.5   104   112 135.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006135661               0.505207512               0.163871000 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.386540597            -0.003563091             0.691252014 
#>   grade_iii, Cure model 
#>             1.661115846 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 127    3.53      1  62        0         1
#> 199   19.81      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 40    18.00      1  28        1         0
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 158   20.14      1  74        1         0
#> 197   21.60      1  69        1         0
#> 57    14.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 66    22.13      1  53        0         0
#> 169   22.41      1  46        0         0
#> 123   13.00      1  44        1         0
#> 85    16.44      1  36        0         0
#> 5     16.43      1  51        0         1
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 194   22.40      1  38        0         1
#> 90    20.94      1  50        0         1
#> 92    22.92      1  47        0         1
#> 85.1  16.44      1  36        0         0
#> 140   12.68      1  59        1         0
#> 69    23.23      1  25        0         1
#> 153   21.33      1  55        1         0
#> 149    8.37      1  33        1         0
#> 14    12.89      1  21        0         0
#> 105.1 19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 60    13.15      1  38        1         0
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 171   16.57      1  41        0         1
#> 159   10.55      1  50        0         1
#> 58    19.34      1  39        0         0
#> 134   17.81      1  47        1         0
#> 13    14.34      1  54        0         1
#> 16     8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 96.1  14.54      1  33        0         1
#> 154   12.63      1  20        1         0
#> 114   13.68      1  NA        0         0
#> 145   10.07      1  65        1         0
#> 36.1  21.19      1  48        0         1
#> 88    18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 149.1  8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 18.1  15.21      1  49        1         0
#> 184   17.77      1  38        0         0
#> 90.1  20.94      1  50        0         1
#> 59.1  10.16      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 40.1  18.00      1  28        1         0
#> 89.1  11.44      1  NA        0         0
#> 50.1  10.02      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 37    12.52      1  57        1         0
#> 63    22.77      1  31        1         0
#> 164.1 23.60      1  76        0         1
#> 133   14.65      1  57        0         0
#> 130   16.47      1  53        0         1
#> 49    12.19      1  48        1         0
#> 37.1  12.52      1  57        1         0
#> 36.2  21.19      1  48        0         1
#> 155   13.08      1  26        0         0
#> 199.1 19.81      1  NA        0         1
#> 50.2  10.02      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 6     15.64      1  39        0         0
#> 130.1 16.47      1  53        0         1
#> 175   21.91      1  43        0         0
#> 61    10.12      1  36        0         1
#> 86    23.81      1  58        0         1
#> 40.2  18.00      1  28        1         0
#> 59.2  10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 91     5.33      1  61        0         1
#> 32    20.90      1  37        1         0
#> 30.1  17.43      1  78        0         0
#> 157   15.10      1  47        0         0
#> 134.1 17.81      1  47        1         0
#> 134.2 17.81      1  47        1         0
#> 111   17.45      1  47        0         1
#> 91.1   5.33      1  61        0         1
#> 60.1  13.15      1  38        1         0
#> 5.1   16.43      1  51        0         1
#> 40.3  18.00      1  28        1         0
#> 155.1 13.08      1  26        0         0
#> 5.2   16.43      1  51        0         1
#> 117   17.46      1  26        0         1
#> 189.1 10.51      1  NA        1         0
#> 18.2  15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 99    21.19      1  38        0         1
#> 78    23.88      1  43        0         0
#> 179   18.63      1  42        0         0
#> 77     7.27      1  67        0         1
#> 117.1 17.46      1  26        0         1
#> 91.2   5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 6.1   15.64      1  39        0         0
#> 123.1 13.00      1  44        1         0
#> 50.3  10.02      1  NA        1         0
#> 66.2  22.13      1  53        0         0
#> 61.1  10.12      1  36        0         1
#> 37.2  12.52      1  57        1         0
#> 43    12.10      1  61        0         1
#> 89.2  11.44      1  NA        0         0
#> 80    24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 67    24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 62    24.00      0  71        0         0
#> 120.2 24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 162   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 9.1   24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 7     24.00      0  37        1         0
#> 121   24.00      0  57        1         0
#> 200.1 24.00      0  64        0         0
#> 27.1  24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 104   24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 156   24.00      0  50        1         0
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 143.1 24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 172   24.00      0  41        0         0
#> 135.1 24.00      0  58        1         0
#> 193   24.00      0  45        0         1
#> 162.1 24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 152   24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 126   24.00      0  48        0         0
#> 143.2 24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 132   24.00      0  55        0         0
#> 64.1  24.00      0  43        0         0
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 137.1 24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 22.1  24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 131.1 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 131.2 24.00      0  66        0         0
#> 67.1  24.00      0  25        0         0
#> 185   24.00      0  44        1         0
#> 109.1 24.00      0  48        0         0
#> 142.1 24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 27.2  24.00      0  63        1         0
#> 126.1 24.00      0  48        0         0
#> 33    24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 75    24.00      0  21        1         0
#> 143.3 24.00      0  51        0         0
#> 126.2 24.00      0  48        0         0
#> 132.2 24.00      0  55        0         0
#> 182.1 24.00      0  35        0         0
#> 28.1  24.00      0  67        1         0
#> 118   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 82.1  24.00      0  34        0         0
#> 75.1  24.00      0  21        1         0
#> 102.1 24.00      0  49        0         0
#> 186.2 24.00      0  45        1         0
#> 17.1  24.00      0  38        0         1
#> 38    24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.387          NA        NA      NA
#> 2 age, Cure model         -0.00356        NA        NA      NA
#> 3 grade_ii, Cure model     0.691          NA        NA      NA
#> 4 grade_iii, Cure model    1.66           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00614        NA        NA      NA
#> 2 grade_ii, Survival model   0.505          NA        NA      NA
#> 3 grade_iii, Survival model  0.164          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.386541         -0.003563          0.691252          1.661116  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 235.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.386540597     -0.003563091      0.691252014      1.661115846 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006135661      0.505207512      0.163871000 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.989337945 0.259940032 0.511198388 0.335879214 0.606539957 0.229083607
#>   [7] 0.119902223 0.691787715 0.648753852 0.239369043 0.081531930 0.062507346
#>  [13] 0.767143212 0.511198388 0.542656697 0.150705702 0.081531930 0.071976705
#>  [19] 0.188402100 0.043642060 0.511198388 0.799246744 0.034159534 0.140562165
#>  [25] 0.926200073 0.788484947 0.259940032 0.218773950 0.724233642 0.017812150
#>  [31] 0.468759816 0.479378442 0.873223554 0.291813148 0.376363784 0.702624731
#>  [37] 0.915562224 0.670318878 0.670318878 0.809986280 0.904953707 0.150705702
#>  [43] 0.313648992 0.926200073 0.447835365 0.606539957 0.406558504 0.188402100
#>  [49] 0.239369043 0.335879214 0.324708531 0.820659880 0.053379943 0.017812150
#>  [55] 0.659510351 0.490016861 0.852062751 0.820659880 0.150705702 0.745642896
#>  [61] 0.702624731 0.585103670 0.490016861 0.109444293 0.883833408 0.009509546
#>  [67] 0.335879214 0.130283546 0.957760799 0.208586827 0.447835365 0.638033456
#>  [73] 0.376363784 0.376363784 0.437435103 0.957760799 0.724233642 0.542656697
#>  [79] 0.335879214 0.745642896 0.542656697 0.416938233 0.606539957 0.574370028
#>  [85] 0.150705702 0.002586705 0.302686323 0.947184177 0.416938233 0.957760799
#>  [91] 0.281025550 0.585103670 0.767143212 0.081531930 0.883833408 0.820659880
#>  [97] 0.862630840 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   127   105   192    40    18   158   197    57   180   166    66   169   123 
#>  3.53 19.75 16.44 18.00 15.21 20.14 21.60 14.46 14.82 19.98 22.13 22.41 13.00 
#>    85     5    36  66.1   194    90    92  85.1   140    69   153   149    14 
#> 16.44 16.43 21.19 22.13 22.40 20.94 22.92 16.44 12.68 23.23 21.33  8.37 12.89 
#> 105.1   150    60   164    45   171   159    58   134    13    16    96  96.1 
#> 19.75 20.33 13.15 23.60 17.42 16.57 10.55 19.34 17.81 14.34  8.71 14.54 14.54 
#>   154   145  36.1    88 149.1    30  18.1   184  90.1 166.1  40.1    51    37 
#> 12.63 10.07 21.19 18.37  8.37 17.43 15.21 17.77 20.94 19.98 18.00 18.23 12.52 
#>    63 164.1   133   130    49  37.1  36.2   155  13.1     6 130.1   175    61 
#> 22.77 23.60 14.65 16.47 12.19 12.52 21.19 13.08 14.34 15.64 16.47 21.91 10.12 
#>    86  40.2   139    91    32  30.1   157 134.1 134.2   111  91.1  60.1   5.1 
#> 23.81 18.00 21.49  5.33 20.90 17.43 15.10 17.81 17.81 17.45  5.33 13.15 16.43 
#>  40.3 155.1   5.2   117  18.2    79    99    78   179    77 117.1  91.2   170 
#> 18.00 13.08 16.43 17.46 15.21 16.23 21.19 23.88 18.63  7.27 17.46  5.33 19.54 
#>   6.1 123.1  66.2  61.1  37.2    43    80   120   109 120.1   131   102    67 
#> 15.64 13.00 22.13 10.12 12.52 12.10 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   122   165    31   186    53    62 120.2    34    71   148   162    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    64   9.1    17   200     7   121 200.1  27.1    22    83   104    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   182     2   142 143.1   135   172 135.1   193 162.1    44   152   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 143.2   173   132  64.1   176    65 137.1   112  22.1    28    82 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1    12 131.2  67.1   185 109.1 142.1   163 172.1  27.2 126.1    33  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 143.3 126.2 132.2 182.1  28.1   118 186.1    87  82.1  75.1 102.1 186.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1    38 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006709197               0.682933776               0.509184977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.45963343              0.02659631             -0.08359951 
#>   grade_iii, Cure model 
#>              1.22453993 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 158   20.14      1  74        1         0
#> 89    11.44      1  NA        0         0
#> 158.1 20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 136   21.83      1  43        0         1
#> 128   20.35      1  35        0         1
#> 129   23.41      1  53        1         0
#> 79    16.23      1  54        1         0
#> 150   20.33      1  48        0         0
#> 30    17.43      1  78        0         0
#> 97    19.14      1  65        0         1
#> 169   22.41      1  46        0         0
#> 43    12.10      1  61        0         1
#> 111   17.45      1  47        0         1
#> 184   17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 177   12.53      1  75        0         0
#> 129.1 23.41      1  53        1         0
#> 123   13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 171   16.57      1  41        0         1
#> 89.1  11.44      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 128.1 20.35      1  35        0         1
#> 24    23.89      1  38        0         0
#> 158.2 20.14      1  74        1         0
#> 15    22.68      1  48        0         0
#> 190   20.81      1  42        1         0
#> 79.1  16.23      1  54        1         0
#> 114.1 13.68      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 107   11.18      1  54        1         0
#> 177.1 12.53      1  75        0         0
#> 167   15.55      1  56        1         0
#> 69    23.23      1  25        0         1
#> 127    3.53      1  62        0         1
#> 153   21.33      1  55        1         0
#> 107.1 11.18      1  54        1         0
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 107.2 11.18      1  54        1         0
#> 145   10.07      1  65        1         0
#> 32    20.90      1  37        1         0
#> 130   16.47      1  53        0         1
#> 4     17.64      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 108.1 18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 136.1 21.83      1  43        0         1
#> 36    21.19      1  48        0         1
#> 194   22.40      1  38        0         1
#> 78    23.88      1  43        0         0
#> 177.2 12.53      1  75        0         0
#> 86    23.81      1  58        0         1
#> 23.1  16.92      1  61        0         0
#> 8     18.43      1  32        0         0
#> 24.1  23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 61    10.12      1  36        0         1
#> 111.1 17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 127.1  3.53      1  62        0         1
#> 63.1  22.77      1  31        1         0
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 45    17.42      1  54        0         1
#> 124.1  9.73      1  NA        1         0
#> 128.2 20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 130.1 16.47      1  53        0         1
#> 124.2  9.73      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 181.1 16.46      1  45        0         1
#> 36.1  21.19      1  48        0         1
#> 107.3 11.18      1  54        1         0
#> 128.3 20.35      1  35        0         1
#> 69.1  23.23      1  25        0         1
#> 189   10.51      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 177.3 12.53      1  75        0         0
#> 36.2  21.19      1  48        0         1
#> 36.3  21.19      1  48        0         1
#> 164.1 23.60      1  76        0         1
#> 159.1 10.55      1  50        0         1
#> 150.1 20.33      1  48        0         0
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 189.1 10.51      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 105   19.75      1  60        0         0
#> 29    15.45      1  68        1         0
#> 111.2 17.45      1  47        0         1
#> 49    12.19      1  48        1         0
#> 15.1  22.68      1  48        0         0
#> 86.1  23.81      1  58        0         1
#> 36.4  21.19      1  48        0         1
#> 51    18.23      1  83        0         1
#> 199.1 19.81      1  NA        0         1
#> 58    19.34      1  39        0         0
#> 70.1   7.38      1  30        1         0
#> 39    15.59      1  37        0         1
#> 26    15.77      1  49        0         1
#> 123.1 13.00      1  44        1         0
#> 92    22.92      1  47        0         1
#> 24.2  23.89      1  38        0         0
#> 117   17.46      1  26        0         1
#> 113.1 22.86      1  34        0         0
#> 129.2 23.41      1  53        1         0
#> 172   24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 28    24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 162   24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 182.1 24.00      0  35        0         0
#> 178   24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 98    24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 142   24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 33    24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 102   24.00      0  49        0         0
#> 156.1 24.00      0  50        1         0
#> 73.1  24.00      0  NA        0         1
#> 144   24.00      0  28        0         1
#> 146   24.00      0  63        1         0
#> 172.1 24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 141.1 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 162.1 24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 182.2 24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 196   24.00      0  19        0         0
#> 191   24.00      0  60        0         1
#> 80    24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 48    24.00      0  31        1         0
#> 156.2 24.00      0  50        1         0
#> 80.1  24.00      0  41        0         0
#> 35    24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 156.3 24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 104   24.00      0  50        1         0
#> 82.1  24.00      0  34        0         0
#> 121   24.00      0  57        1         0
#> 72.1  24.00      0  40        0         1
#> 38    24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 162.2 24.00      0  51        0         0
#> 120.2 24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 80.2  24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 151   24.00      0  42        0         0
#> 48.1  24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 38.1  24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 71.2  24.00      0  51        0         0
#> 84.1  24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 126   24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 54.1  24.00      0  53        1         0
#> 135   24.00      0  58        1         0
#> 119   24.00      0  17        0         0
#> 47.1  24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 75.1  24.00      0  21        1         0
#> 94    24.00      0  51        0         1
#> 20.1  24.00      0  46        1         0
#> 118   24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 33.1  24.00      0  53        0         0
#> 156.4 24.00      0  50        1         0
#> 156.5 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.46          NA        NA      NA
#> 2 age, Cure model           0.0266        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0836        NA        NA      NA
#> 4 grade_iii, Cure model     1.22          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00671        NA        NA      NA
#> 2 grade_ii, Survival model   0.683          NA        NA      NA
#> 3 grade_iii, Survival model  0.509          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.4596            0.0266           -0.0836            1.2245  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 235.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.45963343       0.02659631      -0.08359951       1.22453993 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006709197      0.682933776      0.509184977 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.50907427 0.66534647 0.66534647 0.85661346 0.52001427 0.61918254
#>   [7] 0.33561574 0.84551900 0.64992782 0.78010152 0.70095536 0.48670356
#>  [13] 0.93470500 0.76147068 0.74848407 0.27443659 0.90966463 0.33561574
#>  [19] 0.89944220 0.29888945 0.81068881 0.79248578 0.61918254 0.08562422
#>  [25] 0.66534647 0.46412068 0.61088518 0.84551900 0.89421756 0.93966822
#>  [31] 0.90966463 0.87304245 0.37711548 0.99105277 0.55060697 0.93966822
#>  [37] 0.71496815 0.88898710 0.93966822 0.97272475 0.60240066 0.81666559
#>  [43] 0.82834139 0.44111276 0.71496815 0.98650640 0.52001427 0.56026977
#>  [49] 0.49803297 0.18584701 0.90966463 0.22520798 0.79248578 0.70797006
#>  [55] 0.08562422 0.96803636 0.76147068 0.95863145 0.99105277 0.44111276
#>  [61] 0.88371787 0.73530939 0.78632755 0.61918254 0.97736701 0.81666559
#>  [67] 0.41624094 0.82834139 0.56026977 0.93966822 0.61918254 0.37711548
#>  [73] 0.74194684 0.90966463 0.56026977 0.56026977 0.29888945 0.95863145
#>  [79] 0.64992782 0.80465909 0.54061755 0.83981497 0.68667955 0.87841461
#>  [85] 0.76147068 0.92970177 0.46412068 0.22520798 0.56026977 0.72858767
#>  [91] 0.69382844 0.97736701 0.86760734 0.86213338 0.89944220 0.40341434
#>  [97] 0.08562422 0.75500477 0.41624094 0.33561574 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    66   158 158.1   188   136   128   129    79   150    30    97   169    43 
#> 22.13 20.14 20.14 16.16 21.83 20.35 23.41 16.23 20.33 17.43 19.14 22.41 12.10 
#>   111   184   168   177 129.1   123   164   171    23 128.1    24 158.2    15 
#> 17.45 17.77 23.72 12.53 23.41 13.00 23.60 16.57 16.92 20.35 23.89 20.14 22.68 
#>   190  79.1   155   107 177.1   167    69   127   153 107.1   108    57 107.2 
#> 20.81 16.23 13.08 11.18 12.53 15.55 23.23  3.53 21.33 11.18 18.29 14.46 11.18 
#>   145    32   130   181    63 108.1    77 136.1    36   194    78 177.2    86 
#> 10.07 20.90 16.47 16.46 22.77 18.29  7.27 21.83 21.19 22.40 23.88 12.53 23.81 
#>  23.1     8  24.1    61 111.1   159 127.1  63.1    96    40    45 128.2    70 
#> 16.92 18.43 23.89 10.12 17.45 10.55  3.53 22.77 14.54 18.00 17.42 20.35  7.38 
#> 130.1   113 181.1  36.1 107.3 128.3  69.1   134 177.3  36.2  36.3 164.1 159.1 
#> 16.47 22.86 16.46 21.19 11.18 20.35 23.23 17.81 12.53 21.19 21.19 23.60 10.55 
#> 150.1   106   197     5   105    29 111.2    49  15.1  86.1  36.4    51    58 
#> 20.33 16.67 21.60 16.43 19.75 15.45 17.45 12.19 22.68 23.81 21.19 18.23 19.34 
#>  70.1    39    26 123.1    92  24.2   117 113.1 129.2   172   120   148   141 
#>  7.38 15.59 15.77 13.00 22.92 23.89 17.46 22.86 23.41 24.00 24.00 24.00 24.00 
#>     9    84    28    82   162   182 182.1   178   103    98   186   142   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    54    33    75   102 156.1   144   146 172.1    72 141.1   109    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1     3 148.1 182.2   173   196   191    80   116    48 156.2  80.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 156.3    83   104  82.1   121  72.1    38 120.1 162.2 120.2   193    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147  80.2   198   151  48.1  98.1  38.1   122  71.1   160  71.2  84.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 173.1  54.1   135   119  47.1    34  34.1  75.1    94  20.1   118  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1 156.4 156.5 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01050727                0.83577353                0.72745653 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.83317774              0.01762709             -0.14485929 
#>   grade_iii, Cure model 
#>              0.90467650 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 175   21.91      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 81    14.06      1  34        0         0
#> 107   11.18      1  54        1         0
#> 164   23.60      1  76        0         1
#> 159   10.55      1  50        0         1
#> 86    23.81      1  58        0         1
#> 42    12.43      1  49        0         1
#> 188   16.16      1  46        0         1
#> 108   18.29      1  39        0         1
#> 181   16.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 51    18.23      1  83        0         1
#> 125   15.65      1  67        1         0
#> 153   21.33      1  55        1         0
#> 179   18.63      1  42        0         0
#> 197   21.60      1  69        1         0
#> 179.1 18.63      1  42        0         0
#> 105   19.75      1  60        0         0
#> 37    12.52      1  57        1         0
#> 129   23.41      1  53        1         0
#> 10    10.53      1  34        0         0
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 108.1 18.29      1  39        0         1
#> 36    21.19      1  48        0         1
#> 105.1 19.75      1  60        0         0
#> 52    10.42      1  52        0         1
#> 78    23.88      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 96    14.54      1  33        0         1
#> 106   16.67      1  49        1         0
#> 167   15.55      1  56        1         0
#> 52.1  10.42      1  52        0         1
#> 108.2 18.29      1  39        0         1
#> 101    9.97      1  10        0         1
#> 57    14.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 123   13.00      1  44        1         0
#> 168.1 23.72      1  70        0         0
#> 13    14.34      1  54        0         1
#> 45    17.42      1  54        0         1
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 32    20.90      1  37        1         0
#> 13.1  14.34      1  54        0         1
#> 66    22.13      1  53        0         0
#> 123.1 13.00      1  44        1         0
#> 167.1 15.55      1  56        1         0
#> 50    10.02      1  NA        1         0
#> 105.2 19.75      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 181.1 16.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 101.1  9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 100   16.07      1  60        0         0
#> 154   12.63      1  20        1         0
#> 63    22.77      1  31        1         0
#> 105.3 19.75      1  60        0         0
#> 81.2  14.06      1  34        0         0
#> 171   16.57      1  41        0         1
#> 154.1 12.63      1  20        1         0
#> 36.1  21.19      1  48        0         1
#> 171.1 16.57      1  41        0         1
#> 15.1  22.68      1  48        0         0
#> 169.1 22.41      1  46        0         0
#> 8     18.43      1  32        0         0
#> 183    9.24      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 106.1 16.67      1  49        1         0
#> 108.3 18.29      1  39        0         1
#> 114.1 13.68      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 70     7.38      1  30        1         0
#> 199   19.81      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 63.1  22.77      1  31        1         0
#> 36.2  21.19      1  48        0         1
#> 97    19.14      1  65        0         1
#> 57.1  14.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 55    19.34      1  69        0         1
#> 189   10.51      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 170.1 19.54      1  43        0         1
#> 187.1  9.92      1  39        1         0
#> 149.1  8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 85    16.44      1  36        0         0
#> 30.1  17.43      1  78        0         0
#> 149.2  8.37      1  33        1         0
#> 171.2 16.57      1  41        0         1
#> 175.1 21.91      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 107.1 11.18      1  54        1         0
#> 192   16.44      1  31        1         0
#> 175.2 21.91      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 30.2  17.43      1  78        0         0
#> 110   17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 57.2  14.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 166   19.98      1  48        0         0
#> 145   10.07      1  65        1         0
#> 56    12.21      1  60        0         0
#> 36.3  21.19      1  48        0         1
#> 17    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 20    24.00      0  46        1         0
#> 138   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 9     24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 138.1 24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 54    24.00      0  53        1         0
#> 72.1  24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 9.2   24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 176   24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 9.3   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 102   24.00      0  49        0         0
#> 118.1 24.00      0  44        1         0
#> 38.1  24.00      0  31        1         0
#> 9.4   24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 151   24.00      0  42        0         0
#> 34    24.00      0  36        0         0
#> 72.2  24.00      0  40        0         1
#> 178.1 24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 165.2 24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 172.1 24.00      0  41        0         0
#> 34.1  24.00      0  36        0         0
#> 104   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 62    24.00      0  71        0         0
#> 9.5   24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 7     24.00      0  37        1         0
#> 9.6   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 178.2 24.00      0  52        1         0
#> 200.2 24.00      0  64        0         0
#> 12    24.00      0  63        0         0
#> 135.1 24.00      0  58        1         0
#> 84    24.00      0  39        0         1
#> 44    24.00      0  56        0         0
#> 161   24.00      0  45        0         0
#> 172.2 24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 118.2 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 173   24.00      0  19        0         1
#> 126.1 24.00      0  48        0         0
#> 38.2  24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 165.3 24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 126.2 24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 135.2 24.00      0  58        1         0
#> 47    24.00      0  38        0         1
#> 193.1 24.00      0  45        0         1
#> 22.1  24.00      0  52        1         0
#> 143.1 24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.833         NA        NA      NA
#> 2 age, Cure model           0.0176        NA        NA      NA
#> 3 grade_ii, Cure model     -0.145         NA        NA      NA
#> 4 grade_iii, Cure model     0.905         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0105        NA        NA      NA
#> 2 grade_ii, Survival model    0.836         NA        NA      NA
#> 3 grade_iii, Survival model   0.727         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.83318           0.01763          -0.14486           0.90468  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 253.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.83317774       0.01762709      -0.14485929       0.90467650 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01050727       0.83577353       0.72745653 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.140716815 0.938679211 0.726168292 0.838526758 0.048204664 0.856823733
#>   [7] 0.021179671 0.801419741 0.620382306 0.390885302 0.581246231 0.029337808
#>  [13] 0.430037405 0.640036279 0.182536990 0.349429800 0.171626399 0.349429800
#>  [19] 0.269051535 0.792131852 0.058974912 0.875033636 0.308829307 0.450373654
#>  [25] 0.390885302 0.193259289 0.269051535 0.893358103 0.007569327 0.856823733
#>  [31] 0.669248273 0.521420160 0.649877738 0.893358103 0.390885302 0.920764288
#>  [37] 0.678939201 0.102440096 0.754688873 0.029337808 0.707252629 0.500735624
#>  [43] 0.085150516 0.511028368 0.230824945 0.707252629 0.120930717 0.754688873
#>  [49] 0.649877738 0.269051535 0.726168292 0.581246231 0.001704648 0.920764288
#>  [55] 0.571251412 0.630173461 0.773607272 0.069153786 0.269051535 0.726168292
#>  [61] 0.541694044 0.773607272 0.193259289 0.541694044 0.085150516 0.102440096
#>  [67] 0.369991665 0.956414380 0.875033636 0.521420160 0.390885302 0.965311785
#>  [73] 0.991309545 0.819994419 0.069153786 0.193259289 0.339210969 0.678939201
#>  [79] 0.829265266 0.328978140 0.369991665 0.308829307 0.938679211 0.965311785
#>  [85] 0.470381712 0.600870062 0.470381712 0.965311785 0.541694044 0.140716815
#>  [91] 0.230824945 0.838526758 0.600870062 0.140716815 0.007569327 0.470381712
#>  [97] 0.440210866 0.120930717 0.249546030 0.678939201 0.460406279 0.259226104
#> [103] 0.911608275 0.810682202 0.193259289 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   175   187    81   107   164   159    86    42   188   108   181   168    51 
#> 21.91  9.92 14.06 11.18 23.60 10.55 23.81 12.43 16.16 18.29 16.46 23.72 18.23 
#>   125   153   179   197 179.1   105    37   129    10   170   117 108.1    36 
#> 15.65 21.33 18.63 21.60 18.63 19.75 12.52 23.41 10.53 19.54 17.46 18.29 21.19 
#> 105.1    52    78 159.1    96   106   167  52.1 108.2   101    57   169   123 
#> 19.75 10.42 23.88 10.55 14.54 16.67 15.55 10.42 18.29  9.97 14.46 22.41 13.00 
#> 168.1    13    45    15    23    32  13.1    66 123.1 167.1 105.2  81.1 181.1 
#> 23.72 14.34 17.42 22.68 16.92 20.90 14.34 22.13 13.00 15.55 19.75 14.06 16.46 
#>    24 101.1   130   100   154    63 105.3  81.2   171 154.1  36.1 171.1  15.1 
#> 23.89  9.97 16.47 16.07 12.63 22.77 19.75 14.06 16.57 12.63 21.19 16.57 22.68 
#> 169.1     8   183  10.1 106.1 108.3   149    70    49  63.1  36.2    97  57.1 
#> 22.41 18.43  9.24 10.53 16.67 18.29  8.37  7.38 12.19 22.77 21.19 19.14 14.46 
#>    43    55   8.1 170.1 187.1 149.1    30    85  30.1 149.2 171.2 175.1  32.1 
#> 12.10 19.34 18.43 19.54  9.92  8.37 17.43 16.44 17.43  8.37 16.57 21.91 20.90 
#> 107.1   192 175.2  78.1  30.2   110  66.1    68  57.2   111   166   145    56 
#> 11.18 16.44 21.91 23.88 17.43 17.56 22.13 20.62 14.46 17.45 19.98 10.07 12.21 
#>  36.3    17   193   163   152    38   165    20   138    72     9    33   9.1 
#> 21.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 138.1 165.1   146   172   156   200    54  72.1    75   9.2   118  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   126    22   9.3   143    21   102 118.1  38.1   9.4 200.1   178   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  72.2 178.1    35 165.2    65   135   174 172.1  34.1   104    62   9.5 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112     7   9.6   186 178.2 200.2    12 135.1    84    44   161 172.2   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.2   109    28    74     2   144    53   191   173 126.1  38.2    11 165.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162  11.1 126.2   182 135.2    47 193.1  22.1 143.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00395153                0.30958035                0.46726968 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.606066809            -0.007234769            -0.601123361 
#>   grade_iii, Cure model 
#>             0.448020075 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 59    10.16      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 41    18.02      1  40        1         0
#> 171   16.57      1  41        0         1
#> 69    23.23      1  25        0         1
#> 153   21.33      1  55        1         0
#> 14    12.89      1  21        0         0
#> 93    10.33      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 77     7.27      1  67        0         1
#> 41.1  18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 41.2  18.02      1  40        1         0
#> 130   16.47      1  53        0         1
#> 157   15.10      1  47        0         0
#> 52    10.42      1  52        0         1
#> 127    3.53      1  62        0         1
#> 110   17.56      1  65        0         1
#> 26    15.77      1  49        0         1
#> 90    20.94      1  50        0         1
#> 113   22.86      1  34        0         0
#> 166   19.98      1  48        0         0
#> 157.1 15.10      1  47        0         0
#> 149    8.37      1  33        1         0
#> 30    17.43      1  78        0         0
#> 4     17.64      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 99    21.19      1  38        0         1
#> 110.1 17.56      1  65        0         1
#> 58    19.34      1  39        0         0
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 170   19.54      1  43        0         1
#> 199   19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 91.1   5.33      1  61        0         1
#> 66    22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 111   17.45      1  47        0         1
#> 85    16.44      1  36        0         0
#> 25     6.32      1  34        1         0
#> 150   20.33      1  48        0         0
#> 85.1  16.44      1  36        0         0
#> 129.1 23.41      1  53        1         0
#> 69.1  23.23      1  25        0         1
#> 113.1 22.86      1  34        0         0
#> 8     18.43      1  32        0         0
#> 187    9.92      1  39        1         0
#> 158   20.14      1  74        1         0
#> 149.1  8.37      1  33        1         0
#> 155   13.08      1  26        0         0
#> 175   21.91      1  43        0         0
#> 92    22.92      1  47        0         1
#> 18    15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 150.1 20.33      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 155.1 13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 41.3  18.02      1  40        1         0
#> 199.1 19.81      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 194   22.40      1  38        0         1
#> 63    22.77      1  31        1         0
#> 110.2 17.56      1  65        0         1
#> 199.2 19.81      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 130.1 16.47      1  53        0         1
#> 159   10.55      1  50        0         1
#> 159.1 10.55      1  50        0         1
#> 184   17.77      1  38        0         0
#> 77.1   7.27      1  67        0         1
#> 30.1  17.43      1  78        0         0
#> 179   18.63      1  42        0         0
#> 150.2 20.33      1  48        0         0
#> 61    10.12      1  36        0         1
#> 175.1 21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 13    14.34      1  54        0         1
#> 26.1  15.77      1  49        0         1
#> 36    21.19      1  48        0         1
#> 106   16.67      1  49        1         0
#> 93.1  10.33      1  52        0         1
#> 42.1  12.43      1  49        0         1
#> 52.2  10.42      1  52        0         1
#> 26.2  15.77      1  49        0         1
#> 179.1 18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 168   23.72      1  70        0         0
#> 18.1  15.21      1  49        1         0
#> 51.1  18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 8.1   18.43      1  32        0         0
#> 63.1  22.77      1  31        1         0
#> 110.3 17.56      1  65        0         1
#> 111.1 17.45      1  47        0         1
#> 187.1  9.92      1  39        1         0
#> 187.2  9.92      1  39        1         0
#> 130.2 16.47      1  53        0         1
#> 6     15.64      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 106.1 16.67      1  49        1         0
#> 155.2 13.08      1  26        0         0
#> 92.1  22.92      1  47        0         1
#> 85.2  16.44      1  36        0         0
#> 63.2  22.77      1  31        1         0
#> 170.1 19.54      1  43        0         1
#> 187.3  9.92      1  39        1         0
#> 147   24.00      0  76        1         0
#> 116   24.00      0  58        0         1
#> 142   24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 138   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 138.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 147.1 24.00      0  76        1         0
#> 156   24.00      0  50        1         0
#> 174   24.00      0  49        1         0
#> 138.2 24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 75    24.00      0  21        1         0
#> 94    24.00      0  51        0         1
#> 80    24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 135.1 24.00      0  58        1         0
#> 182   24.00      0  35        0         0
#> 2     24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 176.1 24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 182.2 24.00      0  35        0         0
#> 75.1  24.00      0  21        1         0
#> 65    24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 54    24.00      0  53        1         0
#> 19.1  24.00      0  57        0         1
#> 2.1   24.00      0   9        0         0
#> 67    24.00      0  25        0         0
#> 7     24.00      0  37        1         0
#> 7.1   24.00      0  37        1         0
#> 95.2  24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 148   24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 44.1  24.00      0  56        0         0
#> 173.1 24.00      0  19        0         1
#> 75.2  24.00      0  21        1         0
#> 28.1  24.00      0  67        1         0
#> 28.2  24.00      0  67        1         0
#> 84.1  24.00      0  39        0         1
#> 137.1 24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 172   24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 146.1 24.00      0  63        1         0
#> 27    24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 54.1  24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 11.1  24.00      0  42        0         1
#> 46.1  24.00      0  71        0         0
#> 28.3  24.00      0  67        1         0
#> 53    24.00      0  32        0         1
#> 138.3 24.00      0  44        1         0
#> 163.1 24.00      0  66        0         0
#> 19.2  24.00      0  57        0         1
#> 151   24.00      0  42        0         0
#> 148.1 24.00      0  61        1         0
#> 142.1 24.00      0  53        0         0
#> 148.2 24.00      0  61        1         0
#> 116.1 24.00      0  58        0         1
#> 72    24.00      0  40        0         1
#> 174.1 24.00      0  49        1         0
#> 75.3  24.00      0  21        1         0
#> 47.1  24.00      0  38        0         1
#> 200.1 24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.606          NA        NA      NA
#> 2 age, Cure model         -0.00723        NA        NA      NA
#> 3 grade_ii, Cure model    -0.601          NA        NA      NA
#> 4 grade_iii, Cure model    0.448          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00395        NA        NA      NA
#> 2 grade_ii, Survival model   0.310          NA        NA      NA
#> 3 grade_iii, Survival model  0.467          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.606067         -0.007235         -0.601123          0.448020  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.606066809     -0.007234769     -0.601123361      0.448020075 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00395153       0.30958035       0.46726968 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.675625737 0.419161040 0.567264355 0.083594444 0.215676532 0.774495727
#>   [7] 0.854382730 0.059046246 0.949043061 0.419161040 0.880585706 0.419161040
#>  [13] 0.576513620 0.702654763 0.828164918 0.991521531 0.475438693 0.639725329
#>  [19] 0.245242507 0.125767600 0.322432767 0.702654763 0.923334163 0.530279331
#>  [25] 0.765484360 0.225882616 0.475438693 0.351394887 0.264691373 0.974601234
#>  [31] 0.399863830 0.332313630 0.456322751 0.974601234 0.185545937 0.274328474
#>  [37] 0.511918781 0.603443775 0.966066266 0.284019940 0.603443775 0.059046246
#>  [43] 0.083594444 0.125767600 0.380426634 0.889280872 0.312603962 0.923334163
#>  [49] 0.738722013 0.195658196 0.105356985 0.684694813 0.720692882 0.284019940
#>  [55] 0.630534417 0.828164918 0.738722013 0.254999821 0.419161040 0.792561887
#>  [61] 0.175536861 0.146610139 0.475438693 0.005832824 0.576513620 0.810423914
#>  [67] 0.810423914 0.465867049 0.949043061 0.530279331 0.361106875 0.284019940
#>  [73] 0.871844466 0.195658196 0.783515451 0.729723540 0.639725329 0.225882616
#>  [79] 0.548810115 0.854382730 0.792561887 0.828164918 0.639725329 0.361106875
#>  [85] 0.940458224 0.019081253 0.684694813 0.399863830 0.044522993 0.380426634
#>  [91] 0.146610139 0.475438693 0.511918781 0.889280872 0.889280872 0.576513620
#>  [97] 0.666545413 0.019081253 0.548810115 0.738722013 0.105356985 0.603443775
#> [103] 0.146610139 0.332313630 0.889280872 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   167    41   171    69   153    14    93   129    77  41.1   101  41.2   130 
#> 15.55 18.02 16.57 23.23 21.33 12.89 10.33 23.41  7.27 18.02  9.97 18.02 16.47 
#>   157    52   127   110    26    90   113   166 157.1   149    30   123    99 
#> 15.10 10.42  3.53 17.56 15.77 20.94 22.86 19.98 15.10  8.37 17.43 13.00 21.19 
#> 110.1    58   190    91    51   170    40  91.1    66    68   111    85    25 
#> 17.56 19.34 20.81  5.33 18.23 19.54 18.00  5.33 22.13 20.62 17.45 16.44  6.32 
#>   150  85.1 129.1  69.1 113.1     8   187   158 149.1   155   175    92    18 
#> 20.33 16.44 23.41 23.23 22.86 18.43  9.92 20.14  8.37 13.08 21.91 22.92 15.21 
#>    96 150.1   100  52.1 155.1    32  41.3    42   194    63 110.2    78 130.1 
#> 14.54 20.33 16.07 10.42 13.08 20.90 18.02 12.43 22.40 22.77 17.56 23.88 16.47 
#>   159 159.1   184  77.1  30.1   179 150.2    61 175.1   177    13  26.1    36 
#> 10.55 10.55 17.77  7.27 17.43 18.63 20.33 10.12 21.91 12.53 14.34 15.77 21.19 
#>   106  93.1  42.1  52.2  26.2 179.1    70   168  18.1  51.1   164   8.1  63.1 
#> 16.67 10.33 12.43 10.42 15.77 18.63  7.38 23.72 15.21 18.23 23.60 18.43 22.77 
#> 110.3 111.1 187.1 187.2 130.2     6 168.1 106.1 155.2  92.1  85.2  63.2 170.1 
#> 17.56 17.45  9.92  9.92 16.47 15.64 23.72 16.67 13.08 22.92 16.44 22.77 19.54 
#> 187.3   147   116   142    95     1    11   138   104 138.1   186    44 147.1 
#>  9.92 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   174 138.2  95.1   135   176    47    19    28    75    94    80   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   143    46   126   163 135.1   182     2     9 182.1   146   193 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173 182.2  75.1    65    84    54  19.1   2.1    67     7   7.1  95.2   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  44.1 173.1  75.2  28.1  28.2  84.1 137.1   200   172    87    20 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27   118  27.1  54.1    34  11.1  46.1  28.3    53 138.3 163.1  19.2   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1 142.1 148.2 116.1    72 174.1  75.3  47.1 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01353972                0.54642035                0.33046771 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.46860871              0.01412655             -0.42039118 
#>   grade_iii, Cure model 
#>              0.52236946 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 189   10.51      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 51    18.23      1  83        0         1
#> 194   22.40      1  38        0         1
#> 154   12.63      1  20        1         0
#> 197   21.60      1  69        1         0
#> 188   16.16      1  46        0         1
#> 136   21.83      1  43        0         1
#> 167   15.55      1  56        1         0
#> 78    23.88      1  43        0         0
#> 29    15.45      1  68        1         0
#> 184   17.77      1  38        0         0
#> 130   16.47      1  53        0         1
#> 110   17.56      1  65        0         1
#> 168   23.72      1  70        0         0
#> 16     8.71      1  71        0         1
#> 133   14.65      1  57        0         0
#> 5     16.43      1  51        0         1
#> 40    18.00      1  28        1         0
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 195.1 11.76      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 168.1 23.72      1  70        0         0
#> 39    15.59      1  37        0         1
#> 169   22.41      1  46        0         0
#> 129   23.41      1  53        1         0
#> 184.1 17.77      1  38        0         0
#> 106   16.67      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 133.1 14.65      1  57        0         0
#> 168.2 23.72      1  70        0         0
#> 133.2 14.65      1  57        0         0
#> 183    9.24      1  67        1         0
#> 37    12.52      1  57        1         0
#> 39.1  15.59      1  37        0         1
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 18    15.21      1  49        1         0
#> 78.1  23.88      1  43        0         0
#> 128   20.35      1  35        0         1
#> 197.1 21.60      1  69        1         0
#> 88.1  18.37      1  47        0         0
#> 134   17.81      1  47        1         0
#> 55    19.34      1  69        0         1
#> 66    22.13      1  53        0         0
#> 37.1  12.52      1  57        1         0
#> 129.1 23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 154.1 12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 194.1 22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 26    15.77      1  49        0         1
#> 127    3.53      1  62        0         1
#> 40.1  18.00      1  28        1         0
#> 4     17.64      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 14    12.89      1  21        0         0
#> 29.1  15.45      1  68        1         0
#> 154.2 12.63      1  20        1         0
#> 187    9.92      1  39        1         0
#> 77     7.27      1  67        0         1
#> 57    14.46      1  45        0         1
#> 167.1 15.55      1  56        1         0
#> 130.1 16.47      1  53        0         1
#> 125   15.65      1  67        1         0
#> 63    22.77      1  31        1         0
#> 157.1 15.10      1  47        0         0
#> 76    19.22      1  54        0         1
#> 133.3 14.65      1  57        0         0
#> 111   17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 96.1  14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 4.1   17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 86    23.81      1  58        0         1
#> 76.1  19.22      1  54        0         1
#> 79    16.23      1  54        1         0
#> 129.2 23.41      1  53        1         0
#> 150.1 20.33      1  48        0         0
#> 70     7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 133.4 14.65      1  57        0         0
#> 170   19.54      1  43        0         1
#> 55.1  19.34      1  69        0         1
#> 105   19.75      1  60        0         0
#> 175   21.91      1  43        0         0
#> 113   22.86      1  34        0         0
#> 169.1 22.41      1  46        0         0
#> 113.1 22.86      1  34        0         0
#> 61.1  10.12      1  36        0         1
#> 166   19.98      1  48        0         0
#> 10    10.53      1  34        0         0
#> 157.2 15.10      1  47        0         0
#> 187.1  9.92      1  39        1         0
#> 117.1 17.46      1  26        0         1
#> 96.2  14.54      1  33        0         1
#> 86.1  23.81      1  58        0         1
#> 105.1 19.75      1  60        0         0
#> 164   23.60      1  76        0         1
#> 133.5 14.65      1  57        0         0
#> 189.1 10.51      1  NA        1         0
#> 55.2  19.34      1  69        0         1
#> 39.2  15.59      1  37        0         1
#> 61.2  10.12      1  36        0         1
#> 5.1   16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 64    24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 109   24.00      0  48        0         0
#> 1.1   24.00      0  23        1         0
#> 7     24.00      0  37        1         0
#> 84    24.00      0  39        0         1
#> 119   24.00      0  17        0         0
#> 83    24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 73.1  24.00      0  NA        0         1
#> 178   24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 137   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 17.1  24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 9     24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 137.1 24.00      0  45        1         0
#> 46.1  24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 147.1 24.00      0  76        1         0
#> 17.2  24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 137.2 24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 121.1 24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 142   24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 47    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 103   24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 19    24.00      0  57        0         1
#> 3.1   24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 67    24.00      0  25        0         0
#> 147.2 24.00      0  76        1         0
#> 80    24.00      0  41        0         0
#> 19.1  24.00      0  57        0         1
#> 48    24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 1.2   24.00      0  23        1         0
#> 119.1 24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 146   24.00      0  63        1         0
#> 198.2 24.00      0  66        0         1
#> 137.3 24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 132.2 24.00      0  55        0         0
#> 84.2  24.00      0  39        0         1
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 73.2  24.00      0  NA        0         1
#> 20.2  24.00      0  46        1         0
#> 80.1  24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 1.3   24.00      0  23        1         0
#> 67.1  24.00      0  25        0         0
#> 196   24.00      0  19        0         0
#> 185.1 24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 48.1  24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 46.2  24.00      0  71        0         0
#> 34.1  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.469         NA        NA      NA
#> 2 age, Cure model           0.0141        NA        NA      NA
#> 3 grade_ii, Cure model     -0.420         NA        NA      NA
#> 4 grade_iii, Cure model     0.522         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0135        NA        NA      NA
#> 2 grade_ii, Survival model    0.546         NA        NA      NA
#> 3 grade_iii, Survival model   0.330         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.46861           0.01413          -0.42039           0.52237  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 251.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.46860871       0.01412655      -0.42039118       0.52236946 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01353972       0.54642035       0.33046771 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3690824000 0.2496859684 0.0704262775 0.7785302273 0.1024586821
#>   [6] 0.4549487293 0.0956418067 0.5339020737 0.0005698114 0.5568935743
#>  [11] 0.2883236767 0.3795594933 0.3079782664 0.0078900907 0.9466787222
#>  [16] 0.6276355684 0.4220600388 0.2595326017 0.3181064826 0.2214930345
#>  [21] 0.3482805796 0.0371250327 0.4005922596 0.0078900907 0.5000640612
#>  [26] 0.0587535138 0.0235231614 0.2883236767 0.3586648255 0.4005922596
#>  [31] 0.6276355684 0.0078900907 0.6276355684 0.9334723872 0.8166081606
#>  [36] 0.5000640612 0.2307811473 0.5801853999 0.0005698114 0.1234171589
#>  [41] 0.1024586821 0.2307811473 0.2785946313 0.1780011151 0.0824376275
#>  [46] 0.8166081606 0.0235231614 0.1306818645 0.7785302273 0.1162092475
#>  [51] 0.0704262775 0.5919770167 0.4661030558 0.9865824339 0.2595326017
#>  [56] 0.7013048402 0.7654180356 0.5568935743 0.7785302273 0.9073576487
#>  [61] 0.9732372678 0.7393874428 0.5339020737 0.3795594933 0.4773335072
#>  [66] 0.0531430302 0.5919770167 0.2035650493 0.6276355684 0.3380675294
#>  [71] 0.7523612038 0.7013048402 0.8684482284 0.8423577701 0.0034128106
#>  [76] 0.2035650493 0.4438633114 0.0235231614 0.1306818645 0.9599718195
#>  [81] 0.4886445593 0.6276355684 0.1696124267 0.1780011151 0.1534237326
#>  [86] 0.0889315282 0.0423704941 0.0587535138 0.0423704941 0.8684482284
#>  [91] 0.1455777731 0.8553662976 0.5919770167 0.9073576487 0.3181064826
#>  [96] 0.7013048402 0.0034128106 0.1534237326 0.0183726055 0.6276355684
#> [101] 0.1780011151 0.5000640612 0.8684482284 0.4220600388 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   171    51   194   154   197   188   136   167    78    29   184   130   110 
#> 16.57 18.23 22.40 12.63 21.60 16.16 21.83 15.55 23.88 15.45 17.77 16.47 17.56 
#>   168    16   133     5    40   117     8    23    69    85 168.1    39   169 
#> 23.72  8.71 14.65 16.43 18.00 17.46 18.43 16.92 23.23 16.44 23.72 15.59 22.41 
#>   129 184.1   106  85.1 133.1 168.2 133.2   183    37  39.1    88    18  78.1 
#> 23.41 17.77 16.67 16.44 14.65 23.72 14.65  9.24 12.52 15.59 18.37 15.21 23.88 
#>   128 197.1  88.1   134    55    66  37.1 129.1   150 154.1   139 194.1   157 
#> 20.35 21.60 18.37 17.81 19.34 22.13 12.52 23.41 20.33 12.63 21.49 22.40 15.10 
#>    26   127  40.1    96    14  29.1 154.2   187    77    57 167.1 130.1   125 
#> 15.77  3.53 18.00 14.54 12.89 15.45 12.63  9.92  7.27 14.46 15.55 16.47 15.65 
#>    63 157.1    76 133.3   111    81  96.1    61   107    86  76.1    79 129.2 
#> 22.77 15.10 19.22 14.65 17.45 14.06 14.54 10.12 11.18 23.81 19.22 16.23 23.41 
#> 150.1    70     6 133.4   170  55.1   105   175   113 169.1 113.1  61.1   166 
#> 20.33  7.38 15.64 14.65 19.54 19.34 19.75 21.91 22.86 22.41 22.86 10.12 19.98 
#>    10 157.2 187.1 117.1  96.2  86.1 105.1   164 133.5  55.2  39.2  61.2   5.1 
#> 10.53 15.10  9.92 17.46 14.54 23.81 19.75 23.60 14.65 19.34 15.59 10.12 16.43 
#>    64    27   176     1   109   1.1     7    84   119    83    87   160   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   172   198    72   137   185    17   163    22    65  17.1    46    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  83.1 137.1  46.1  84.1   174 147.1  17.2   121 137.2    53 121.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142     3    20    47    44   103   132    19   3.1 132.1   191    67 147.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  19.1    48 198.1   1.2 119.1  20.1   146 198.2 137.3   104   173 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.2    12    34   126   143    74  20.2  80.1    33  33.1    28   1.3  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196 185.1  64.1  48.1 191.1  46.2  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -4.276512e-05              5.918900e-01              2.840875e-01 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.31301294              0.01902852              0.52299719 
#>   grade_iii, Cure model 
#>              1.03995455 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 133   14.65      1  57        0         0
#> 55    19.34      1  69        0         1
#> 24    23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 97    19.14      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 105   19.75      1  60        0         0
#> 24.1  23.89      1  38        0         0
#> 189   10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 37    12.52      1  57        1         0
#> 15    22.68      1  48        0         0
#> 68    20.62      1  44        0         0
#> 166   19.98      1  48        0         0
#> 37.1  12.52      1  57        1         0
#> 117.1 17.46      1  26        0         1
#> 16     8.71      1  71        0         1
#> 110   17.56      1  65        0         1
#> 190   20.81      1  42        1         0
#> 18    15.21      1  49        1         0
#> 189.1 10.51      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 57    14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 129   23.41      1  53        1         0
#> 57.1  14.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 88    18.37      1  47        0         0
#> 101    9.97      1  10        0         1
#> 59    10.16      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 189.2 10.51      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 52    10.42      1  52        0         1
#> 66    22.13      1  53        0         0
#> 18.1  15.21      1  49        1         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 39    15.59      1  37        0         1
#> 39.1  15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 111   17.45      1  47        0         1
#> 43    12.10      1  61        0         1
#> 18.2  15.21      1  49        1         0
#> 39.2  15.59      1  37        0         1
#> 125   15.65      1  67        1         0
#> 188   16.16      1  46        0         1
#> 167   15.55      1  56        1         0
#> 37.2  12.52      1  57        1         0
#> 58    19.34      1  39        0         0
#> 79    16.23      1  54        1         0
#> 107   11.18      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 13    14.34      1  54        0         1
#> 30    17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 8     18.43      1  32        0         0
#> 51    18.23      1  83        0         1
#> 39.3  15.59      1  37        0         1
#> 194.1 22.40      1  38        0         1
#> 117.2 17.46      1  26        0         1
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 123   13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 49    12.19      1  48        1         0
#> 177   12.53      1  75        0         0
#> 150.1 20.33      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 29    15.45      1  68        1         0
#> 39.4  15.59      1  37        0         1
#> 90    20.94      1  50        0         1
#> 179   18.63      1  42        0         0
#> 30.1  17.43      1  78        0         0
#> 125.1 15.65      1  67        1         0
#> 91     5.33      1  61        0         1
#> 106.2 16.67      1  49        1         0
#> 153   21.33      1  55        1         0
#> 89.1  11.44      1  NA        0         0
#> 41.1  18.02      1  40        1         0
#> 150.2 20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 107.2 11.18      1  54        1         0
#> 154   12.63      1  20        1         0
#> 187    9.92      1  39        1         0
#> 23    16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 4     17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 155   13.08      1  26        0         0
#> 45    17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 89.2  11.44      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 125.2 15.65      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 57.2  14.46      1  45        0         1
#> 127.1  3.53      1  62        0         1
#> 51.1  18.23      1  83        0         1
#> 164.1 23.60      1  76        0         1
#> 51.2  18.23      1  83        0         1
#> 55.1  19.34      1  69        0         1
#> 51.3  18.23      1  83        0         1
#> 76.1  19.22      1  54        0         1
#> 86.1  23.81      1  58        0         1
#> 37.3  12.52      1  57        1         0
#> 85    16.44      1  36        0         0
#> 114.1 13.68      1  NA        0         0
#> 3     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 83    24.00      0   6        0         0
#> 62    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 2     24.00      0   9        0         0
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 54.1  24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 144   24.00      0  28        0         1
#> 75    24.00      0  21        1         0
#> 120   24.00      0  68        0         1
#> 20    24.00      0  46        1         0
#> 33    24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 20.1  24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 27    24.00      0  63        1         0
#> 191   24.00      0  60        0         1
#> 191.1 24.00      0  60        0         1
#> 11    24.00      0  42        0         1
#> 135   24.00      0  58        1         0
#> 11.1  24.00      0  42        0         1
#> 64    24.00      0  43        0         0
#> 3.1   24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 1.1   24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 11.2  24.00      0  42        0         1
#> 119   24.00      0  17        0         0
#> 178.1 24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 151   24.00      0  42        0         0
#> 165   24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 118   24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 1.2   24.00      0  23        1         0
#> 1.3   24.00      0  23        1         0
#> 109   24.00      0  48        0         0
#> 62.1  24.00      0  71        0         0
#> 178.2 24.00      0  52        1         0
#> 64.1  24.00      0  43        0         0
#> 120.1 24.00      0  68        0         1
#> 95    24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 132   24.00      0  55        0         0
#> 143   24.00      0  51        0         0
#> 161.1 24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 198   24.00      0  66        0         1
#> 53    24.00      0  32        0         1
#> 118.1 24.00      0  44        1         0
#> 161.2 24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 146.1 24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 200.1 24.00      0  64        0         0
#> 121   24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 80.1  24.00      0  41        0         0
#> 44.1  24.00      0  56        0         0
#> 165.2 24.00      0  47        0         0
#> 120.2 24.00      0  68        0         1
#> 44.2  24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 74.1  24.00      0  43        0         1
#> 102.1 24.00      0  49        0         0
#> 22.1  24.00      0  52        1         0
#> 65    24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.31          NA        NA      NA
#> 2 age, Cure model           0.0190        NA        NA      NA
#> 3 grade_ii, Cure model      0.523         NA        NA      NA
#> 4 grade_iii, Cure model     1.04          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                        estimate std.error statistic p.value
#>   <chr>                          <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.0000428        NA        NA      NA
#> 2 grade_ii, Survival model   0.592            NA        NA      NA
#> 3 grade_iii, Survival model  0.284            NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.31301           0.01903           0.52300           1.03995  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 247.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.31301294       0.01902852       0.52299719       1.03995455 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -4.276512e-05     5.918900e-01     2.840875e-01 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79289109 0.34810427 0.02445470 0.97169411 0.39986608 0.53724714
#>   [7] 0.33719483 0.02445470 0.61051972 0.87007095 0.18855892 0.28369962
#>  [13] 0.32628633 0.87007095 0.53724714 0.96455885 0.52780211 0.27275519
#>  [19] 0.76164711 0.51830186 0.80076137 0.48969534 0.13468538 0.80076137
#>  [25] 0.13468538 0.44075335 0.95021076 0.61051972 0.10239206 0.94299718
#>  [31] 0.22565832 0.76164711 0.23806570 0.29464491 0.70524756 0.70524756
#>  [37] 0.98591388 0.56462341 0.90686487 0.76164711 0.70524756 0.68038842
#>  [43] 0.66306015 0.74543004 0.87007095 0.34810427 0.65434061 0.91423827
#>  [49] 0.91423827 0.82392054 0.57385102 0.20152900 0.43046811 0.45103909
#>  [55] 0.70524756 0.20152900 0.53724714 0.63671303 0.67174249 0.83945919
#>  [61] 0.06658297 0.89947193 0.85482700 0.29464491 0.39986608 0.17559103
#>  [67] 0.75357357 0.70524756 0.26144594 0.42018322 0.57385102 0.68038842
#>  [73] 0.97881239 0.61051972 0.24997519 0.48969534 0.29464491 0.93576559
#>  [79] 0.91423827 0.84717118 0.95740643 0.60133961 0.78502100 0.85482700
#>  [85] 0.16180437 0.83168983 0.59215986 0.50880190 0.37920826 0.68038842
#>  [91] 0.80076137 0.98591388 0.45103909 0.10239206 0.45103909 0.34810427
#>  [97] 0.45103909 0.37920826 0.06658297 0.87007095 0.64552673 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   133    55    24    77    97   117   105  24.1   106    37    15    68   166 
#> 14.65 19.34 23.89  7.27 19.14 17.46 19.75 23.89 16.67 12.52 22.68 20.62 19.98 
#>  37.1 117.1    16   110   190    18   184    57    41   129  57.1 129.1    88 
#> 12.52 17.46  8.71 17.56 20.81 15.21 17.77 14.46 18.02 23.41 14.46 23.41 18.37 
#>   101 106.1   164    52    66  18.1   139   150    39  39.1   127   111    43 
#>  9.97 16.67 23.60 10.42 22.13 15.21 21.49 20.33 15.59 15.59  3.53 17.45 12.10 
#>  18.2  39.2   125   188   167  37.2    58    79   107 107.1    13    30   194 
#> 15.21 15.59 15.65 16.16 15.55 12.52 19.34 16.23 11.18 11.18 14.34 17.43 22.40 
#>     8    51  39.3 194.1 117.2   181    26   123    86    49   177 150.1  97.1 
#> 18.43 18.23 15.59 22.40 17.46 16.46 15.77 13.00 23.81 12.19 12.53 20.33 19.14 
#>    63    29  39.4    90   179  30.1 125.1    91 106.2   153  41.1 150.2    10 
#> 22.77 15.45 15.59 20.94 18.63 17.43 15.65  5.33 16.67 21.33 18.02 20.33 10.53 
#> 107.2   154   187    23   157 177.1    69   155    45   134    76 125.2  57.2 
#> 11.18 12.63  9.92 16.92 15.10 12.53 23.23 13.08 17.42 17.81 19.22 15.65 14.46 
#> 127.1  51.1 164.1  51.2  55.1  51.3  76.1  86.1  37.3    85     3   156    12 
#>  3.53 18.23 23.60 18.23 19.34 18.23 19.22 23.81 12.52 16.44 24.00 24.00 24.00 
#>    83    62    54     2   103    17  54.1   131     1   144    75   120    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   142  20.1   178    27   191 191.1    11   135  11.1    64   3.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   185   200  11.2   119 178.1    82   116    84   151   165   186   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 165.1    74   1.2   1.3   109  62.1 178.2  64.1 120.1    95   126   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   143 161.1   193   198    53 118.1 161.2    80   146    22    87   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1 200.1   121   173    44    47   122   2.1  80.1  44.1 165.2 120.2  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46  74.1 102.1  22.1    65 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007032618               0.171443590               0.324185319 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.03358013              0.02318742             -0.54568970 
#>   grade_iii, Cure model 
#>              0.82876310 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 43    12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 76    19.22      1  54        0         1
#> 86    23.81      1  58        0         1
#> 29    15.45      1  68        1         0
#> 99    21.19      1  38        0         1
#> 4     17.64      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 25     6.32      1  34        1         0
#> 26    15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 158   20.14      1  74        1         0
#> 134   17.81      1  47        1         0
#> 25.1   6.32      1  34        1         0
#> 76.1  19.22      1  54        0         1
#> 125   15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 175   21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 93    10.33      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 23.1  16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 157.1 15.10      1  47        0         0
#> 175.1 21.91      1  43        0         0
#> 169   22.41      1  46        0         0
#> 50.1  10.02      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 8     18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 4.1   17.64      1  NA        0         1
#> 129   23.41      1  53        1         0
#> 195.1 11.76      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 23.2  16.92      1  61        0         0
#> 86.1  23.81      1  58        0         1
#> 69.1  23.23      1  25        0         1
#> 4.2   17.64      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 58    19.34      1  39        0         0
#> 69.2  23.23      1  25        0         1
#> 16.1   8.71      1  71        0         1
#> 89    11.44      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 61    10.12      1  36        0         1
#> 153   21.33      1  55        1         0
#> 39    15.59      1  37        0         1
#> 114   13.68      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 29.1  15.45      1  68        1         0
#> 177.1 12.53      1  75        0         0
#> 32    20.90      1  37        1         0
#> 10    10.53      1  34        0         0
#> 90    20.94      1  50        0         1
#> 59.1  10.16      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 183    9.24      1  67        1         0
#> 90.1  20.94      1  50        0         1
#> 78.1  23.88      1  43        0         0
#> 153.1 21.33      1  55        1         0
#> 166.1 19.98      1  48        0         0
#> 58.1  19.34      1  39        0         0
#> 25.2   6.32      1  34        1         0
#> 68    20.62      1  44        0         0
#> 14    12.89      1  21        0         0
#> 101    9.97      1  10        0         1
#> 52    10.42      1  52        0         1
#> 15    22.68      1  48        0         0
#> 145   10.07      1  65        1         0
#> 166.2 19.98      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 158.1 20.14      1  74        1         0
#> 56    12.21      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 195.2 11.76      1  NA        1         0
#> 50.2  10.02      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 180   14.82      1  37        0         0
#> 52.1  10.42      1  52        0         1
#> 184.1 17.77      1  38        0         0
#> 57    14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 180.1 14.82      1  37        0         0
#> 16.2   8.71      1  71        0         1
#> 117   17.46      1  26        0         1
#> 113   22.86      1  34        0         0
#> 39.1  15.59      1  37        0         1
#> 113.1 22.86      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 39.2  15.59      1  37        0         1
#> 197.1 21.60      1  69        1         0
#> 107.1 11.18      1  54        1         0
#> 15.1  22.68      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 91.1   5.33      1  61        0         1
#> 4.3   17.64      1  NA        0         1
#> 192   16.44      1  31        1         0
#> 170   19.54      1  43        0         1
#> 170.1 19.54      1  43        0         1
#> 128   20.35      1  35        0         1
#> 130.1 16.47      1  53        0         1
#> 14.2  12.89      1  21        0         0
#> 85.1  16.44      1  36        0         0
#> 79    16.23      1  54        1         0
#> 12    24.00      0  63        0         0
#> 122   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 142   24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 152   24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 3     24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 9     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 172   24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 173   24.00      0  19        0         1
#> 22.1  24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 44    24.00      0  56        0         0
#> 65    24.00      0  57        1         0
#> 119.1 24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 172.1 24.00      0  41        0         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 196.1 24.00      0  19        0         0
#> 162   24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 196.2 24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 121   24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 162.1 24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 115   24.00      0  NA        1         0
#> 118   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 112   24.00      0  61        0         0
#> 44.1  24.00      0  56        0         0
#> 94.1  24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 44.2  24.00      0  56        0         0
#> 94.2  24.00      0  51        0         1
#> 94.3  24.00      0  51        0         1
#> 19.1  24.00      0  57        0         1
#> 109.1 24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 38.2  24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 176   24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 132   24.00      0  55        0         0
#> 185.1 24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 53.1  24.00      0  32        0         1
#> 7     24.00      0  37        1         0
#> 22.2  24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 142.1 24.00      0  53        0         0
#> 103.2 24.00      0  56        1         0
#> 103.3 24.00      0  56        1         0
#> 148.1 24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.03          NA        NA      NA
#> 2 age, Cure model           0.0232        NA        NA      NA
#> 3 grade_ii, Cure model     -0.546         NA        NA      NA
#> 4 grade_iii, Cure model     0.829         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00703        NA        NA      NA
#> 2 grade_ii, Survival model   0.171          NA        NA      NA
#> 3 grade_iii, Survival model  0.324          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.03358           0.02319          -0.54569           0.82876  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 237.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.03358013       0.02318742      -0.54568970       0.82876310 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007032618      0.171443590      0.324185319 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86499147 0.51728433 0.56405871 0.12263308 0.75831300 0.40341414
#>   [7] 0.93828857 0.96952559 0.72081848 0.48843945 0.46853887 0.61629373
#>  [13] 0.96952559 0.56405871 0.72853143 0.64975117 0.32975099 0.83013433
#>  [19] 0.58189942 0.58189942 0.90549316 0.62475686 0.64975117 0.77288601
#>  [25] 0.77288601 0.32975099 0.31608106 0.16410879 0.59911511 0.21823280
#>  [31] 0.18459461 0.87186543 0.68971853 0.64975117 0.12263308 0.21823280
#>  [37] 0.05856612 0.54562231 0.21823280 0.93828857 0.84417909 0.91212403
#>  [43] 0.38015385 0.73617147 0.95712487 0.75831300 0.83013433 0.43654348
#>  [49] 0.88540280 0.41494489 0.98788880 0.93179965 0.41494489 0.05856612
#>  [55] 0.38015385 0.48843945 0.54562231 0.96952559 0.44733387 0.80890819
#>  [61] 0.92526973 0.89218351 0.28889347 0.91871745 0.48843945 0.95712487
#>  [67] 0.46853887 0.85117529 0.80890819 0.60775415 0.35577947 0.78735219
#>  [73] 0.89218351 0.62475686 0.80173981 0.67390275 0.78735219 0.93828857
#>  [79] 0.64143106 0.26064117 0.73617147 0.26064117 0.18459461 0.73617147
#>  [85] 0.35577947 0.87186543 0.28889347 0.85117529 0.98788880 0.68971853
#>  [91] 0.52698727 0.52698727 0.45803070 0.67390275 0.80890819 0.68971853
#>  [97] 0.71302617 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    43   105    76    86    29    99    16    25    26   166   158   134  25.1 
#> 12.10 19.75 19.22 23.81 15.45 21.19  8.71  6.32 15.77 19.98 20.14 17.81  6.32 
#>  76.1   125    23   175   177    97  97.1    93   184  23.1   157 157.1 175.1 
#> 19.22 15.65 16.92 21.91 12.53 19.14 19.14 10.33 17.77 16.92 15.10 15.10 21.91 
#>   169   168     8    69   129   107    85  23.2  86.1  69.1    78    58  69.2 
#> 22.41 23.72 18.43 23.23 23.41 11.18 16.44 16.92 23.81 23.23 23.88 19.34 23.23 
#>  16.1    42    61   153    39    77  29.1 177.1    32    10    90    91   183 
#>  8.71 12.43 10.12 21.33 15.59  7.27 15.45 12.53 20.90 10.53 20.94  5.33  9.24 
#>  90.1  78.1 153.1 166.1  58.1  25.2    68    14   101    52    15   145 166.2 
#> 20.94 23.88 21.33 19.98 19.34  6.32 20.62 12.89  9.97 10.42 22.68 10.07 19.98 
#>  77.1 158.1    56  14.1   108   197   180  52.1 184.1    57   130 180.1  16.2 
#>  7.27 20.14 12.21 12.89 18.29 21.60 14.82 10.42 17.77 14.46 16.47 14.82  8.71 
#>   117   113  39.1 113.1 129.1  39.2 197.1 107.1  15.1  56.1  91.1   192   170 
#> 17.46 22.86 15.59 22.86 23.41 15.59 21.60 11.18 22.68 12.21  5.33 16.44 19.54 
#> 170.1   128 130.1  14.2  85.1    79    12   122    17   143    87    82   142 
#> 19.54 20.35 16.47 12.89 16.44 16.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   152    38   185    22    75     3  82.1     9   160   196   172    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135    94    46   200   173  22.1    95   119    44    65 119.1   144   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 172.1    35    54    67   137 196.1   162    74  38.1 196.2   103   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71     1   151 162.1 121.1    53   118   174    83   138   109   147   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1  94.1   148  44.2  94.2  94.3  19.1 109.1    84  38.2 103.1   176    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132 185.1  21.1   104  53.1     7  22.2    33   102 142.1 103.2 103.3 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01047868                0.85786753                0.40710294 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.60979397              0.01146743              0.08266473 
#>   grade_iii, Cure model 
#>              0.65766125 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 49    12.19      1  48        1         0
#> 166   19.98      1  48        0         0
#> 26    15.77      1  49        0         1
#> 51    18.23      1  83        0         1
#> 63    22.77      1  31        1         0
#> 117   17.46      1  26        0         1
#> 16     8.71      1  71        0         1
#> 133   14.65      1  57        0         0
#> 32    20.90      1  37        1         0
#> 194   22.40      1  38        0         1
#> 37    12.52      1  57        1         0
#> 184   17.77      1  38        0         0
#> 91     5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 30    17.43      1  78        0         0
#> 26.1  15.77      1  49        0         1
#> 51.1  18.23      1  83        0         1
#> 92    22.92      1  47        0         1
#> 55    19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 93    10.33      1  52        0         1
#> 42    12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 45    17.42      1  54        0         1
#> 26.2  15.77      1  49        0         1
#> 81    14.06      1  34        0         0
#> 70     7.38      1  30        1         0
#> 114   13.68      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 77     7.27      1  67        0         1
#> 56    12.21      1  60        0         0
#> 197   21.60      1  69        1         0
#> 123   13.00      1  44        1         0
#> 81.1  14.06      1  34        0         0
#> 58    19.34      1  39        0         0
#> 66    22.13      1  53        0         0
#> 43    12.10      1  61        0         1
#> 32.1  20.90      1  37        1         0
#> 136   21.83      1  43        0         1
#> 93.1  10.33      1  52        0         1
#> 66.1  22.13      1  53        0         0
#> 194.1 22.40      1  38        0         1
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 30.1  17.43      1  78        0         0
#> 145.1 10.07      1  65        1         0
#> 114.1 13.68      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 66.2  22.13      1  53        0         0
#> 154   12.63      1  20        1         0
#> 88    18.37      1  47        0         0
#> 181.1 16.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 10.1  10.53      1  34        0         0
#> 133.1 14.65      1  57        0         0
#> 32.2  20.90      1  37        1         0
#> 128   20.35      1  35        0         1
#> 56.1  12.21      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 171   16.57      1  41        0         1
#> 76    19.22      1  54        0         1
#> 113   22.86      1  34        0         0
#> 10.2  10.53      1  34        0         0
#> 14    12.89      1  21        0         0
#> 97.1  19.14      1  65        0         1
#> 189.1 10.51      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 70.1   7.38      1  30        1         0
#> 168   23.72      1  70        0         0
#> 175.1 21.91      1  43        0         0
#> 197.1 21.60      1  69        1         0
#> 179   18.63      1  42        0         0
#> 56.2  12.21      1  60        0         0
#> 169   22.41      1  46        0         0
#> 52    10.42      1  52        0         1
#> 171.1 16.57      1  41        0         1
#> 10.3  10.53      1  34        0         0
#> 32.3  20.90      1  37        1         0
#> 168.1 23.72      1  70        0         0
#> 51.2  18.23      1  83        0         1
#> 168.2 23.72      1  70        0         0
#> 106   16.67      1  49        1         0
#> 177   12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 26.3  15.77      1  49        0         1
#> 140   12.68      1  59        1         0
#> 69.1  23.23      1  25        0         1
#> 79    16.23      1  54        1         0
#> 194.2 22.40      1  38        0         1
#> 187    9.92      1  39        1         0
#> 114.2 13.68      1  NA        0         0
#> 114.3 13.68      1  NA        0         0
#> 134   17.81      1  47        1         0
#> 92.1  22.92      1  47        0         1
#> 183    9.24      1  67        1         0
#> 90    20.94      1  50        0         1
#> 15    22.68      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 170   19.54      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 76.1  19.22      1  54        0         1
#> 4.1   17.64      1  NA        0         1
#> 177.1 12.53      1  75        0         0
#> 105   19.75      1  60        0         0
#> 184.1 17.77      1  38        0         0
#> 23    16.92      1  61        0         0
#> 51.3  18.23      1  83        0         1
#> 49.1  12.19      1  48        1         0
#> 66.3  22.13      1  53        0         0
#> 44    24.00      0  56        0         0
#> 11    24.00      0  42        0         1
#> 1     24.00      0  23        1         0
#> 72    24.00      0  40        0         1
#> 11.1  24.00      0  42        0         1
#> 47    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 47.1  24.00      0  38        0         1
#> 80    24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 95    24.00      0  68        0         1
#> 46    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 182.1 24.00      0  35        0         0
#> 31    24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 132   24.00      0  55        0         0
#> 33    24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 35    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 74    24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 21    24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 109.1 24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 109.2 24.00      0  48        0         0
#> 82.1  24.00      0  34        0         0
#> 173   24.00      0  19        0         1
#> 17    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 12.1  24.00      0  63        0         0
#> 147.1 24.00      0  76        1         0
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 21.1  24.00      0  47        0         0
#> 146.2 24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 34.1  24.00      0  36        0         0
#> 137   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 53.1  24.00      0  32        0         1
#> 126.1 24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 3     24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 147.2 24.00      0  76        1         0
#> 186   24.00      0  45        1         0
#> 151   24.00      0  42        0         0
#> 35.1  24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 22.1  24.00      0  52        1         0
#> 98    24.00      0  34        1         0
#> 20.1  24.00      0  46        1         0
#> 46.1  24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 53.2  24.00      0  32        0         1
#> 27    24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 22.2  24.00      0  52        1         0
#> 94.1  24.00      0  51        0         1
#> 146.3 24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 11.2  24.00      0  42        0         1
#> 95.1  24.00      0  68        0         1
#> 74.1  24.00      0  43        0         1
#> 46.2  24.00      0  71        0         0
#> 131.1 24.00      0  66        0         0
#> 21.2  24.00      0  47        0         0
#> 12.2  24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.610         NA        NA      NA
#> 2 age, Cure model           0.0115        NA        NA      NA
#> 3 grade_ii, Cure model      0.0827        NA        NA      NA
#> 4 grade_iii, Cure model     0.658         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0105        NA        NA      NA
#> 2 grade_ii, Survival model    0.858         NA        NA      NA
#> 3 grade_iii, Survival model   0.407         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.60979           0.01147           0.08266           0.65766  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 258 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.60979397       0.01146743       0.08266473       0.65766125 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01047868       0.85786753       0.40710294 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.91535926 0.62399560 0.82041226 0.71133893 0.37065375 0.75366354
#>   [7] 0.97748255 0.84025254 0.57466591 0.41934219 0.89304116 0.74175013
#>  [13] 0.99631344 0.79917941 0.92827492 0.75959816 0.82041226 0.71133893
#>  [19] 0.31516700 0.64759079 0.95770534 0.94939571 0.89758042 0.99260151
#>  [25] 0.77119283 0.82041226 0.85505187 0.98132257 0.60780486 0.98885643
#>  [31] 0.90208527 0.54454856 0.86480743 0.85505187 0.64759079 0.45960343
#>  [37] 0.92398766 0.57466591 0.53263075 0.94939571 0.45960343 0.41934219
#>  [43] 0.09988877 0.09988877 0.75959816 0.95770534 0.27063801 0.45960343
#>  [49] 0.87915753 0.69768599 0.79917941 0.67694465 0.92827492 0.84025254
#>  [55] 0.57466591 0.61596237 0.90208527 0.50833204 0.78824103 0.66253516
#>  [61] 0.35210226 0.92827492 0.86962441 0.67694465 0.80991104 0.98132257
#>  [67] 0.19550615 0.50833204 0.54454856 0.69077453 0.90208527 0.40352680
#>  [73] 0.94517284 0.78824103 0.92827492 0.57466591 0.19550615 0.71133893
#>  [79] 0.19550615 0.78265086 0.88383233 0.85013602 0.82041226 0.87443482
#>  [85] 0.27063801 0.81521495 0.41934219 0.96575921 0.73572176 0.31516700
#>  [91] 0.96975206 0.56474888 0.38731811 0.96975206 0.63984108 0.70455416
#>  [97] 0.66253516 0.88383233 0.63196181 0.74175013 0.77694075 0.71133893
#> [103] 0.91535926 0.45960343 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    49   166    26    51    63   117    16   133    32   194    37   184    91 
#> 12.19 19.98 15.77 18.23 22.77 17.46  8.71 14.65 20.90 22.40 12.52 17.77  5.33 
#>   181    10    30  26.1  51.1    92    55   145    93    42    25    45  26.2 
#> 16.46 10.53 17.43 15.77 18.23 22.92 19.34 10.07 10.33 12.43  6.32 17.42 15.77 
#>    81    70   190    77    56   197   123  81.1    58    66    43  32.1   136 
#> 14.06  7.38 20.81  7.27 12.21 21.60 13.00 14.06 19.34 22.13 12.10 20.90 21.83 
#>  93.1  66.1 194.1    24  24.1  30.1 145.1    69  66.2   154    88 181.1    97 
#> 10.33 22.13 22.40 23.89 23.89 17.43 10.07 23.23 22.13 12.63 18.37 16.46 19.14 
#>  10.1 133.1  32.2   128  56.1   175   171    76   113  10.2    14  97.1   192 
#> 10.53 14.65 20.90 20.35 12.21 21.91 16.57 19.22 22.86 10.53 12.89 19.14 16.44 
#>  70.1   168 175.1 197.1   179  56.2   169    52 171.1  10.3  32.3 168.1  51.2 
#>  7.38 23.72 21.91 21.60 18.63 12.21 22.41 10.42 16.57 10.53 20.90 23.72 18.23 
#> 168.2   106   177    57  26.3   140  69.1    79 194.2   187   134  92.1   183 
#> 23.72 16.67 12.53 14.46 15.77 12.68 23.23 16.23 22.40  9.92 17.81 22.92  9.24 
#>    90    15 183.1   170   108  76.1 177.1   105 184.1    23  51.3  49.1  66.3 
#> 20.94 22.68  9.24 19.54 18.29 19.22 12.53 19.75 17.77 16.92 18.23 12.19 22.13 
#>    44    11     1    72  11.1    47    82  47.1    80   182    95    46    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1    31    34   146   132    33  28.1    35   152    53    74   109   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21 146.1 109.1   131    83   147    65   126     2 109.2  82.1   173    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    12  12.1 147.1    20    75   161    19  21.1 146.2    22     7  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137     9   172  53.1 126.1    94     3  44.1 147.2   186   151  35.1   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.1    98  20.1  46.1 151.1  53.2    27   122  22.2  94.1 146.3   165  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.2  95.1  74.1  46.2 131.1  21.2  12.2   176   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007047919               0.623818558               0.450592414 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.277258864             0.002443547            -0.112422692 
#>   grade_iii, Cure model 
#>             1.460978498 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 129   23.41      1  53        1         0
#> 70     7.38      1  30        1         0
#> 18    15.21      1  49        1         0
#> 108   18.29      1  39        0         1
#> 76    19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 69    23.23      1  25        0         1
#> 130   16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 108.1 18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 96    14.54      1  33        0         1
#> 128   20.35      1  35        0         1
#> 78    23.88      1  43        0         0
#> 37    12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 26.1  15.77      1  49        0         1
#> 157   15.10      1  47        0         0
#> 136   21.83      1  43        0         1
#> 49    12.19      1  48        1         0
#> 93    10.33      1  52        0         1
#> 49.1  12.19      1  48        1         0
#> 41    18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 36    21.19      1  48        0         1
#> 55    19.34      1  69        0         1
#> 32    20.90      1  37        1         0
#> 14    12.89      1  21        0         0
#> 107   11.18      1  54        1         0
#> 180   14.82      1  37        0         0
#> 16     8.71      1  71        0         1
#> 10    10.53      1  34        0         0
#> 32.1  20.90      1  37        1         0
#> 81    14.06      1  34        0         0
#> 134   17.81      1  47        1         0
#> 128.1 20.35      1  35        0         1
#> 89    11.44      1  NA        0         0
#> 36.1  21.19      1  48        0         1
#> 66    22.13      1  53        0         0
#> 79    16.23      1  54        1         0
#> 130.1 16.47      1  53        0         1
#> 42    12.43      1  49        0         1
#> 170   19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 16.1   8.71      1  71        0         1
#> 63    22.77      1  31        1         0
#> 167   15.55      1  56        1         0
#> 139   21.49      1  63        1         0
#> 49.2  12.19      1  48        1         0
#> 136.1 21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 36.2  21.19      1  48        0         1
#> 184   17.77      1  38        0         0
#> 149    8.37      1  33        1         0
#> 42.1  12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 125   15.65      1  67        1         0
#> 15    22.68      1  48        0         0
#> 188   16.16      1  46        0         1
#> 140   12.68      1  59        1         0
#> 125.1 15.65      1  67        1         0
#> 136.2 21.83      1  43        0         1
#> 29    15.45      1  68        1         0
#> 50.1  10.02      1  NA        1         0
#> 78.1  23.88      1  43        0         0
#> 128.2 20.35      1  35        0         1
#> 128.3 20.35      1  35        0         1
#> 89.1  11.44      1  NA        0         0
#> 194   22.40      1  38        0         1
#> 133   14.65      1  57        0         0
#> 52    10.42      1  52        0         1
#> 97    19.14      1  65        0         1
#> 56    12.21      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 29.1  15.45      1  68        1         0
#> 127    3.53      1  62        0         1
#> 134.1 17.81      1  47        1         0
#> 93.1  10.33      1  52        0         1
#> 157.1 15.10      1  47        0         0
#> 55.1  19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 113   22.86      1  34        0         0
#> 107.1 11.18      1  54        1         0
#> 127.1  3.53      1  62        0         1
#> 188.1 16.16      1  46        0         1
#> 10.1  10.53      1  34        0         0
#> 66.1  22.13      1  53        0         0
#> 100.1 16.07      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 166.1 19.98      1  48        0         0
#> 8     18.43      1  32        0         0
#> 4.1   17.64      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 45    17.42      1  54        0         1
#> 88    18.37      1  47        0         0
#> 51    18.23      1  83        0         1
#> 60    13.15      1  38        1         0
#> 197   21.60      1  69        1         0
#> 194.1 22.40      1  38        0         1
#> 117.1 17.46      1  26        0         1
#> 8.1   18.43      1  32        0         0
#> 37.1  12.52      1  57        1         0
#> 8.2   18.43      1  32        0         0
#> 107.2 11.18      1  54        1         0
#> 44    24.00      0  56        0         0
#> 185   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 142   24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 172   24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 163   24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 137   24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 185.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 121.1 24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 44.1  24.00      0  56        0         0
#> 132   24.00      0  55        0         0
#> 84    24.00      0  39        0         1
#> 104.1 24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 98.1  24.00      0  34        1         0
#> 104.2 24.00      0  50        1         0
#> 191.1 24.00      0  60        0         1
#> 185.2 24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 104.3 24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 120   24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 172.1 24.00      0  41        0         0
#> 98.2  24.00      0  34        1         0
#> 71    24.00      0  51        0         0
#> 44.2  24.00      0  56        0         0
#> 82.1  24.00      0  34        0         0
#> 160.1 24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 172.2 24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 22    24.00      0  52        1         0
#> 191.2 24.00      0  60        0         1
#> 160.2 24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 146.1 24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 200   24.00      0  64        0         0
#> 9.1   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 48.1  24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 200.1 24.00      0  64        0         0
#> 118   24.00      0  44        1         0
#> 98.3  24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 28    24.00      0  67        1         0
#> 191.3 24.00      0  60        0         1
#> 75.1  24.00      0  21        1         0
#> 165.1 24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 146.2 24.00      0  63        1         0
#> 161.2 24.00      0  45        0         0
#> 46    24.00      0  71        0         0
#> 28.1  24.00      0  67        1         0
#> 174.1 24.00      0  49        1         0
#> 126   24.00      0  48        0         0
#> 44.3  24.00      0  56        0         0
#> 138   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 80.1  24.00      0  41        0         0
#> 80.2  24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 135.1 24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.277          NA        NA      NA
#> 2 age, Cure model          0.00244        NA        NA      NA
#> 3 grade_ii, Cure model    -0.112          NA        NA      NA
#> 4 grade_iii, Cure model    1.46           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00705        NA        NA      NA
#> 2 grade_ii, Survival model   0.624          NA        NA      NA
#> 3 grade_iii, Survival model  0.451          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.277259          0.002444         -0.112423          1.460978  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 243.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.277258864      0.002443547     -0.112422692      1.460978498 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007047919      0.623818558      0.450592414 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.20544351 0.98180364 0.79980112 0.63893660 0.59126877 0.75734950
#>   [7] 0.54832113 0.24610442 0.71146914 0.96312571 0.63893660 0.95356704
#>  [13] 0.82849494 0.51315301 0.10460089 0.86758738 0.50343644 0.04867217
#>  [19] 0.17213361 0.75734950 0.80558289 0.38009361 0.89410268 0.94392190
#>  [25] 0.89410268 0.66179249 0.74451140 0.69059760 0.44236166 0.57470251
#>  [31] 0.48405618 0.85654649 0.90938854 0.81704057 0.96786272 0.92918765
#>  [37] 0.48405618 0.83980312 0.66920926 0.51315301 0.44236166 0.35081422
#>  [43] 0.72491063 0.71146914 0.87828757 0.56596508 0.85098799 0.96786272
#>  [49] 0.28524014 0.78211043 0.43064972 0.89410268 0.38009361 0.95835452
#>  [55] 0.44236166 0.68345845 0.97716922 0.87828757 0.92424241 0.47366978
#>  [61] 0.76992822 0.30301848 0.73155573 0.86209925 0.76992822 0.38009361
#>  [67] 0.78814202 0.10460089 0.51315301 0.51315301 0.32038701 0.82277761
#>  [73] 0.93902352 0.59946095 0.88883149 0.20544351 0.78814202 0.99098640
#>  [79] 0.66920926 0.94392190 0.80558289 0.57470251 0.98640967 0.26586683
#>  [85] 0.90938854 0.99098640 0.73155573 0.92918765 0.35081422 0.74451140
#>  [91] 0.54832113 0.60749061 0.83417386 0.70454821 0.63102970 0.65425116
#>  [97] 0.84542217 0.41829648 0.32038701 0.69059760 0.60749061 0.86758738
#> [103] 0.60749061 0.90938854 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   129    70    18   108    76    26   166    69   130   187 108.1   145    96 
#> 23.41  7.38 15.21 18.29 19.22 15.77 19.98 23.23 16.47  9.92 18.29 10.07 14.54 
#>   128    78    37    68    24   168  26.1   157   136    49    93  49.1    41 
#> 20.35 23.88 12.52 20.62 23.89 23.72 15.77 15.10 21.83 12.19 10.33 12.19 18.02 
#>   100   117    36    55    32    14   107   180    16    10  32.1    81   134 
#> 16.07 17.46 21.19 19.34 20.90 12.89 11.18 14.82  8.71 10.53 20.90 14.06 17.81 
#> 128.1  36.1    66    79 130.1    42   170   155  16.1    63   167   139  49.2 
#> 20.35 21.19 22.13 16.23 16.47 12.43 19.54 13.08  8.71 22.77 15.55 21.49 12.19 
#> 136.1   101  36.2   184   149  42.1   159    90   125    15   188   140 125.1 
#> 21.83  9.97 21.19 17.77  8.37 12.43 10.55 20.94 15.65 22.68 16.16 12.68 15.65 
#> 136.2    29  78.1 128.2 128.3   194   133    52    97    56 129.1  29.1   127 
#> 21.83 15.45 23.88 20.35 20.35 22.40 14.65 10.42 19.14 12.21 23.41 15.45  3.53 
#> 134.1  93.1 157.1  55.1    25   113 107.1 127.1 188.1  10.1  66.1 100.1 166.1 
#> 17.81 10.33 15.10 19.34  6.32 22.86 11.18  3.53 16.16 10.53 22.13 16.07 19.98 
#>     8    13    45    88    51    60   197 194.1 117.1   8.1  37.1   8.2 107.2 
#> 18.43 14.34 17.42 18.37 18.23 13.15 21.60 22.40 17.46 18.43 12.52 18.43 11.18 
#>    44   185    80    48   119   144   142    75   135   104   191   172   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    27    11   137    98 185.1   146    35   186 121.1   151  44.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84 104.1   156  98.1 104.2 191.1 185.2 156.1 104.3   143   122    82   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   165 172.1  98.2    71  44.2  82.1 160.1    21 172.2   182    22 191.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.2     9   148 146.1   161   193   174   200   9.1   162   103  48.1 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1   118  98.3   173    28 191.3  75.1 165.1 193.1 146.2 161.2    46  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1   126  44.3   138   152  80.1  80.2  22.1 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01842703                0.26342709               -0.20616827 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.1943191259           -0.0008465609            0.0292927385 
#>   grade_iii, Cure model 
#>            1.1321555376 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 99    21.19      1  38        0         1
#> 181   16.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 130   16.47      1  53        0         1
#> 92    22.92      1  47        0         1
#> 97    19.14      1  65        0         1
#> 183    9.24      1  67        1         0
#> 134   17.81      1  47        1         0
#> 145   10.07      1  65        1         0
#> 68    20.62      1  44        0         0
#> 90    20.94      1  50        0         1
#> 6     15.64      1  39        0         0
#> 183.1  9.24      1  67        1         0
#> 108   18.29      1  39        0         1
#> 187    9.92      1  39        1         0
#> 199.1 19.81      1  NA        0         1
#> 195   11.76      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 181.1 16.46      1  45        0         1
#> 145.1 10.07      1  65        1         0
#> 61    10.12      1  36        0         1
#> 40    18.00      1  28        1         0
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 42    12.43      1  49        0         1
#> 77     7.27      1  67        0         1
#> 123   13.00      1  44        1         0
#> 88    18.37      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 45    17.42      1  54        0         1
#> 92.1  22.92      1  47        0         1
#> 29    15.45      1  68        1         0
#> 114.1 13.68      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 29.1  15.45      1  68        1         0
#> 166   19.98      1  48        0         0
#> 99.1  21.19      1  38        0         1
#> 130.1 16.47      1  53        0         1
#> 108.1 18.29      1  39        0         1
#> 159   10.55      1  50        0         1
#> 97.1  19.14      1  65        0         1
#> 23    16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 36    21.19      1  48        0         1
#> 66    22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 16     8.71      1  71        0         1
#> 61.1  10.12      1  36        0         1
#> 77.1   7.27      1  67        0         1
#> 36.1  21.19      1  48        0         1
#> 52.1  10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 55    19.34      1  69        0         1
#> 154   12.63      1  20        1         0
#> 58    19.34      1  39        0         0
#> 69    23.23      1  25        0         1
#> 63    22.77      1  31        1         0
#> 133.1 14.65      1  57        0         0
#> 32    20.90      1  37        1         0
#> 170   19.54      1  43        0         1
#> 70     7.38      1  30        1         0
#> 188   16.16      1  46        0         1
#> 158   20.14      1  74        1         0
#> 50    10.02      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 15    22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 184.1 17.77      1  38        0         0
#> 92.2  22.92      1  47        0         1
#> 86    23.81      1  58        0         1
#> 16.1   8.71      1  71        0         1
#> 111   17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 92.3  22.92      1  47        0         1
#> 79.1  16.23      1  54        1         0
#> 59.1  10.16      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 41    18.02      1  40        1         0
#> 166.1 19.98      1  48        0         0
#> 97.2  19.14      1  65        0         1
#> 136.1 21.83      1  43        0         1
#> 114.2 13.68      1  NA        0         0
#> 114.3 13.68      1  NA        0         0
#> 63.1  22.77      1  31        1         0
#> 10    10.53      1  34        0         0
#> 106   16.67      1  49        1         0
#> 76.1  19.22      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 192   16.44      1  31        1         0
#> 93    10.33      1  52        0         1
#> 184.2 17.77      1  38        0         0
#> 157.1 15.10      1  47        0         0
#> 181.2 16.46      1  45        0         1
#> 106.1 16.67      1  49        1         0
#> 139   21.49      1  63        1         0
#> 42.1  12.43      1  49        0         1
#> 39    15.59      1  37        0         1
#> 5     16.43      1  51        0         1
#> 184.3 17.77      1  38        0         0
#> 60    13.15      1  38        1         0
#> 196   24.00      0  19        0         0
#> 27    24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 53    24.00      0  32        0         1
#> 148.1 24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 27.1  24.00      0  63        1         0
#> 152.1 24.00      0  36        0         1
#> 73    24.00      0  NA        0         1
#> 75    24.00      0  21        1         0
#> 83    24.00      0   6        0         0
#> 62    24.00      0  71        0         0
#> 83.1  24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 115   24.00      0  NA        1         0
#> 20    24.00      0  46        1         0
#> 17    24.00      0  38        0         1
#> 102   24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 7     24.00      0  37        1         0
#> 65    24.00      0  57        1         0
#> 115.1 24.00      0  NA        1         0
#> 126   24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 53.1  24.00      0  32        0         1
#> 148.2 24.00      0  61        1         0
#> 102.1 24.00      0  49        0         0
#> 193   24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 148.3 24.00      0  61        1         0
#> 119   24.00      0  17        0         0
#> 193.1 24.00      0  45        0         1
#> 95    24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 65.1  24.00      0  57        1         0
#> 73.1  24.00      0  NA        0         1
#> 191   24.00      0  60        0         1
#> 71    24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 95.1  24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 115.2 24.00      0  NA        1         0
#> 148.4 24.00      0  61        1         0
#> 148.5 24.00      0  61        1         0
#> 148.6 24.00      0  61        1         0
#> 152.2 24.00      0  36        0         1
#> 71.1  24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 178   24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 138   24.00      0  44        1         0
#> 95.2  24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 115.3 24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 143   24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 27.2  24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 94    24.00      0  51        0         1
#> 83.2  24.00      0   6        0         0
#> 102.2 24.00      0  49        0         0
#> 126.1 24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 73.2  24.00      0  NA        0         1
#> 138.1 24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 83.3  24.00      0   6        0         0
#> 27.3  24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 156.1 24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 27.4  24.00      0  63        1         0
#> 143.2 24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 75.1  24.00      0  21        1         0
#> 122.1 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.194           NA        NA      NA
#> 2 age, Cure model         -0.000847        NA        NA      NA
#> 3 grade_ii, Cure model     0.0293          NA        NA      NA
#> 4 grade_iii, Cure model    1.13            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0184        NA        NA      NA
#> 2 grade_ii, Survival model    0.263         NA        NA      NA
#> 3 grade_iii, Survival model  -0.206         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.1943191        -0.0008466         0.0292927         1.1321555  
#> 
#> Degrees of Freedom: 178 Total (i.e. Null);  175 Residual
#> Null Deviance:	    246.5 
#> Residual Deviance: 234.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.1943191259    -0.0008465609     0.0292927385     1.1321555376 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01842703       0.26342709      -0.20616827 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9105422 0.4642006 0.7918069 0.9342348 0.5514228 0.7796725 0.2089756
#>   [8] 0.6407035 0.9706175 0.7004600 0.9573056 0.5410441 0.5086780 0.8382848
#>  [15] 0.9706175 0.6710793 0.9661961 0.7075366 0.7918069 0.9573056 0.9481331
#>  [22] 0.6932306 0.5616950 0.8213677 0.9153401 0.9917644 0.8908067 0.6635094
#>  [29] 0.8600461 0.7543322 0.2089756 0.8494413 0.4087014 0.8806745 0.7343494
#>  [36] 0.8494413 0.5810498 0.4642006 0.7796725 0.6710793 0.9248110 0.6407035
#>  [43] 0.7608811 0.9007700 0.4642006 0.3760334 0.8957949 0.9791703 0.9481331
#>  [50] 0.9917644 0.4642006 0.9342348 0.8704739 0.6244194 0.6076087 0.9056677
#>  [57] 0.6076087 0.1590039 0.3200687 0.8704739 0.5304105 0.5987813 0.9875754
#>  [64] 0.8326559 0.5717069 0.7410413 0.3579571 0.4516545 0.2968331 0.7075366
#>  [71] 0.2089756 0.1042576 0.9791703 0.7477144 0.2089756 0.8213677 0.3927775
#>  [78] 0.6859110 0.5810498 0.6407035 0.4087014 0.3200687 0.9295333 0.7673149
#>  [85] 0.6244194 0.5086780 0.8095866 0.9435098 0.7075366 0.8600461 0.7918069
#>  [92] 0.7673149 0.4381378 0.9153401 0.8438743 0.8155002 0.7075366 0.8857641
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   177    99   181    52   128   130    92    97   183   134   145    68    90 
#> 12.53 21.19 16.46 10.42 20.35 16.47 22.92 19.14  9.24 17.81 10.07 20.62 20.94 
#>     6 183.1   108   187   184 181.1 145.1    61    40   150    79    42    77 
#> 15.64  9.24 18.29  9.92 17.77 16.46 10.07 10.12 18.00 20.33 16.23 12.43  7.27 
#>   123    88   157    45  92.1    29   136    57   110  29.1   166  99.1 130.1 
#> 13.00 18.37 15.10 17.42 22.92 15.45 21.83 14.46 17.56 15.45 19.98 21.19 16.47 
#> 108.1   159  97.1    23   140    36    66    14    16  61.1  77.1  36.1  52.1 
#> 18.29 10.55 19.14 16.92 12.68 21.19 22.13 12.89  8.71 10.12  7.27 21.19 10.42 
#>   133    76    55   154    58    69    63 133.1    32   170    70   188   158 
#> 14.65 19.22 19.34 12.63 19.34 23.23 22.77 14.65 20.90 19.54  7.38 16.16 20.14 
#>   117    15   153   113 184.1  92.2    86  16.1   111  92.3  79.1   175    41 
#> 17.46 22.68 21.33 22.86 17.77 22.92 23.81  8.71 17.45 22.92 16.23 21.91 18.02 
#> 166.1  97.2 136.1  63.1    10   106  76.1  90.1   192    93 184.2 157.1 181.2 
#> 19.98 19.14 21.83 22.77 10.53 16.67 19.22 20.94 16.44 10.33 17.77 15.10 16.46 
#> 106.1   139  42.1    39     5 184.3    60   196    27   122   148    53 148.1 
#> 16.67 21.49 12.43 15.59 16.43 17.77 13.15 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152     9   156   120  27.1 152.1    75    83    62  83.1    64    20    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    80   141   174     7    65   126   198  53.1 148.2 102.1   193   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 148.3   119 193.1    95   112   185  65.1   191    71    34  95.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.4 148.5 148.6 152.2  71.1    11   178   109   138  95.2   163    19   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48  27.2   172   144    94  83.2 102.2 126.1    21 138.1 120.1  83.3  27.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 156.1 143.1   162    31  27.4 143.2   131  75.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0007171975              0.5037089710             -0.1234541085 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.13476562              0.01893705              0.38306276 
#>   grade_iii, Cure model 
#>              1.04180912 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 5     16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 59    10.16      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 97    19.14      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 110   17.56      1  65        0         1
#> 23    16.92      1  61        0         0
#> 150   20.33      1  48        0         0
#> 170   19.54      1  43        0         1
#> 59.1  10.16      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 96    14.54      1  33        0         1
#> 136   21.83      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 189.1 10.51      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 58    19.34      1  39        0         0
#> 25     6.32      1  34        1         0
#> 108   18.29      1  39        0         1
#> 140   12.68      1  59        1         0
#> 6     15.64      1  39        0         0
#> 58.1  19.34      1  39        0         0
#> 107.1 11.18      1  54        1         0
#> 61    10.12      1  36        0         1
#> 4     17.64      1  NA        0         1
#> 164   23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 99    21.19      1  38        0         1
#> 106   16.67      1  49        1         0
#> 41    18.02      1  40        1         0
#> 52    10.42      1  52        0         1
#> 79    16.23      1  54        1         0
#> 56    12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 181   16.46      1  45        0         1
#> 183    9.24      1  67        1         0
#> 32.1  20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 175   21.91      1  43        0         0
#> 164.1 23.60      1  76        0         1
#> 190   20.81      1  42        1         0
#> 97.1  19.14      1  65        0         1
#> 52.1  10.42      1  52        0         1
#> 183.1  9.24      1  67        1         0
#> 37    12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 61.1  10.12      1  36        0         1
#> 117   17.46      1  26        0         1
#> 60    13.15      1  38        1         0
#> 61.2  10.12      1  36        0         1
#> 15    22.68      1  48        0         0
#> 40    18.00      1  28        1         0
#> 16     8.71      1  71        0         1
#> 79.1  16.23      1  54        1         0
#> 155   13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 99.1  21.19      1  38        0         1
#> 41.1  18.02      1  40        1         0
#> 124    9.73      1  NA        1         0
#> 99.2  21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 177   12.53      1  75        0         0
#> 117.1 17.46      1  26        0         1
#> 171   16.57      1  41        0         1
#> 85    16.44      1  36        0         0
#> 50    10.02      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 61.3  10.12      1  36        0         1
#> 77     7.27      1  67        0         1
#> 149    8.37      1  33        1         0
#> 6.1   15.64      1  39        0         0
#> 125   15.65      1  67        1         0
#> 36.1  21.19      1  48        0         1
#> 6.2   15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 108.1 18.29      1  39        0         1
#> 154   12.63      1  20        1         0
#> 107.2 11.18      1  54        1         0
#> 86    23.81      1  58        0         1
#> 68    20.62      1  44        0         0
#> 79.2  16.23      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 5.1   16.43      1  51        0         1
#> 81    14.06      1  34        0         0
#> 180   14.82      1  37        0         0
#> 155.1 13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 41.2  18.02      1  40        1         0
#> 76.1  19.22      1  54        0         1
#> 8     18.43      1  32        0         0
#> 41.3  18.02      1  40        1         0
#> 14    12.89      1  21        0         0
#> 43    12.10      1  61        0         1
#> 189.2 10.51      1  NA        1         0
#> 175.1 21.91      1  43        0         0
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 107.3 11.18      1  54        1         0
#> 123   13.00      1  44        1         0
#> 190.1 20.81      1  42        1         0
#> 60.1  13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 92.1  22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 25.1   6.32      1  34        1         0
#> 16.1   8.71      1  71        0         1
#> 63    22.77      1  31        1         0
#> 183.2  9.24      1  67        1         0
#> 173   24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 148   24.00      0  61        1         0
#> 22    24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 53    24.00      0  32        0         1
#> 131   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 82    24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 118.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 148.1 24.00      0  61        1         0
#> 173.2 24.00      0  19        0         1
#> 83    24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 82.1  24.00      0  34        0         0
#> 161.1 24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 143   24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 82.2  24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 116.1 24.00      0  58        0         1
#> 126   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 53.1  24.00      0  32        0         1
#> 148.2 24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 161.2 24.00      0  45        0         0
#> 17    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 22.1  24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 2.1   24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 80    24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 1.1   24.00      0  23        1         0
#> 94    24.00      0  51        0         1
#> 64    24.00      0  43        0         0
#> 191   24.00      0  60        0         1
#> 33    24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 119.1 24.00      0  17        0         0
#> 147   24.00      0  76        1         0
#> 178   24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 87.1  24.00      0  27        0         0
#> 196   24.00      0  19        0         0
#> 174   24.00      0  49        1         0
#> 87.2  24.00      0  27        0         0
#> 22.2  24.00      0  52        1         0
#> 22.3  24.00      0  52        1         0
#> 94.1  24.00      0  51        0         1
#> 112.1 24.00      0  61        0         0
#> 196.1 24.00      0  19        0         0
#> 193.1 24.00      0  45        0         1
#> 73    24.00      0  NA        0         1
#> 82.3  24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 146   24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 173.3 24.00      0  19        0         1
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 3.1   24.00      0  31        1         0
#> 186.2 24.00      0  45        1         0
#> 186.3 24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 118.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.13          NA        NA      NA
#> 2 age, Cure model           0.0189        NA        NA      NA
#> 3 grade_ii, Cure model      0.383         NA        NA      NA
#> 4 grade_iii, Cure model     1.04          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.000717        NA        NA      NA
#> 2 grade_ii, Survival model   0.504           NA        NA      NA
#> 3 grade_iii, Survival model -0.123           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.13477           0.01894           0.38306           1.04181  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 249.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.13476562       0.01893705       0.38306276       1.04180912 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0007171975     0.5037089710    -0.1234541085 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.581757735 0.237639922 0.123330629 0.370227457 0.627399615 0.487631976
#>   [7] 0.534678748 0.290055012 0.310544995 0.410719733 0.690146883 0.159734623
#>  [13] 0.487631976 0.821030913 0.320689143 0.984170774 0.420892181 0.760896524
#>  [19] 0.645514873 0.320689143 0.821030913 0.878601786 0.034596894 0.184077739
#>  [25] 0.853756437 0.184077739 0.544174794 0.441079179 0.862056128 0.600461942
#>  [31] 0.803925987 0.390351575 0.562947456 0.928007024 0.237639922 0.350184162
#>  [37] 0.135892486 0.034596894 0.259252926 0.370227457 0.862056128 0.928007024
#>  [43] 0.795372974 0.320689143 0.878601786 0.506368911 0.708171190 0.878601786
#>  [49] 0.110720171 0.478198857 0.952011556 0.600461942 0.725766329 0.672138847
#>  [55] 0.184077739 0.441079179 0.184077739 0.525175159 0.778226169 0.506368911
#>  [61] 0.553553980 0.572354615 0.778226169 0.878601786 0.976133787 0.968101604
#>  [67] 0.645514873 0.636504693 0.184077739 0.645514873 0.172223412 0.420892181
#>  [73] 0.769594454 0.821030913 0.020711494 0.279666951 0.600461942 0.581757735
#>  [79] 0.699160470 0.681144465 0.725766329 0.300430100 0.441079179 0.350184162
#>  [85] 0.400538652 0.441079179 0.752125769 0.812475001 0.135892486 0.072237765
#>  [91] 0.919777415 0.007826961 0.821030913 0.743353464 0.259252926 0.708171190
#>  [97] 0.058434271 0.072237765 0.911495804 0.984170774 0.952011556 0.098060841
#> [103] 0.928007024 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>     5    32    66    97   100   110    23   150   170    88    96   136 110.1 
#> 16.43 20.90 22.13 19.14 16.07 17.56 16.92 20.33 19.54 18.37 14.54 21.83 17.56 
#>   107    58    25   108   140     6  58.1 107.1    61   164    36    10    99 
#> 11.18 19.34  6.32 18.29 12.68 15.64 19.34 11.18 10.12 23.60 21.19 10.53 21.19 
#>   106    41    52    79    56   179   181   183  32.1    76   175 164.1   190 
#> 16.67 18.02 10.42 16.23 12.21 18.63 16.46  9.24 20.90 19.22 21.91 23.60 20.81 
#>  97.1  52.1 183.1    37    55  61.1   117    60  61.2    15    40    16  79.1 
#> 19.14 10.42  9.24 12.52 19.34 10.12 17.46 13.15 10.12 22.68 18.00  8.71 16.23 
#>   155    39  99.1  41.1  99.2   111   177 117.1   171    85 177.1  61.3    77 
#> 13.08 15.59 21.19 18.02 21.19 17.45 12.53 17.46 16.57 16.44 12.53 10.12  7.27 
#>   149   6.1   125  36.1   6.2   197 108.1   154 107.2    86    68  79.2   5.1 
#>  8.37 15.64 15.65 21.19 15.64 21.60 18.29 12.63 11.18 23.81 20.62 16.23 16.43 
#>    81   180 155.1   158  41.2  76.1     8  41.3    14    43 175.1    92   187 
#> 14.06 14.82 13.08 20.14 18.02 19.22 18.43 18.02 12.89 12.10 21.91 22.92  9.92 
#>    24 107.3   123 190.1  60.1    69  92.1   145  25.1  16.1    63 183.2   173 
#> 23.89 11.18 13.00 20.81 13.15 23.23 22.92 10.07  6.32  8.71 22.77  9.24 24.00 
#>   142    67   161   148    22    35    62   193    53   131 173.1   118 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    82   116     1 118.1   186   119    65   102 148.1 173.2    83    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 161.1   112   143     3     7  82.2    72 116.1   126   172  53.1 148.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    44 161.2    17   151  22.1    11    87   2.1    12    80   144   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    64   191    33    21 119.1   147   178   135  87.1   196   174  87.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  22.2  22.3  94.1 112.1 196.1 193.1  82.3   165    27   146   104   141 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.3    34   156   3.1 186.2 186.3   120 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001824399               0.311959198               0.212490476 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.67288820              0.01322615             -0.36862452 
#>   grade_iii, Cure model 
#>              1.00242650 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 58    19.34      1  39        0         0
#> 181   16.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 93    10.33      1  52        0         1
#> 184   17.77      1  38        0         0
#> 133   14.65      1  57        0         0
#> 199   19.81      1  NA        0         1
#> 15    22.68      1  48        0         0
#> 26    15.77      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 175   21.91      1  43        0         0
#> 37    12.52      1  57        1         0
#> 166   19.98      1  48        0         0
#> 108   18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 149    8.37      1  33        1         0
#> 101    9.97      1  10        0         1
#> 166.1 19.98      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 149.1  8.37      1  33        1         0
#> 56    12.21      1  60        0         0
#> 129   23.41      1  53        1         0
#> 169   22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 117   17.46      1  26        0         1
#> 140   12.68      1  59        1         0
#> 199.2 19.81      1  NA        0         1
#> 52    10.42      1  52        0         1
#> 180   14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 189   10.51      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 187    9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 179   18.63      1  42        0         0
#> 170   19.54      1  43        0         1
#> 124    9.73      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 97    19.14      1  65        0         1
#> 55    19.34      1  69        0         1
#> 69    23.23      1  25        0         1
#> 114   13.68      1  NA        0         0
#> 85.1  16.44      1  36        0         0
#> 81    14.06      1  34        0         0
#> 13    14.34      1  54        0         1
#> 177   12.53      1  75        0         0
#> 76    19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 100   16.07      1  60        0         0
#> 91     5.33      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 189.1 10.51      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 189.2 10.51      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 168   23.72      1  70        0         0
#> 39    15.59      1  37        0         1
#> 107   11.18      1  54        1         0
#> 26.2  15.77      1  49        0         1
#> 168.1 23.72      1  70        0         0
#> 130   16.47      1  53        0         1
#> 13.1  14.34      1  54        0         1
#> 190   20.81      1  42        1         0
#> 91.2   5.33      1  61        0         1
#> 130.1 16.47      1  53        0         1
#> 171   16.57      1  41        0         1
#> 100.1 16.07      1  60        0         0
#> 61    10.12      1  36        0         1
#> 113   22.86      1  34        0         0
#> 6     15.64      1  39        0         0
#> 37.1  12.52      1  57        1         0
#> 69.1  23.23      1  25        0         1
#> 113.1 22.86      1  34        0         0
#> 188   16.16      1  46        0         1
#> 92.1  22.92      1  47        0         1
#> 30    17.43      1  78        0         0
#> 76.1  19.22      1  54        0         1
#> 5     16.43      1  51        0         1
#> 153.1 21.33      1  55        1         0
#> 81.1  14.06      1  34        0         0
#> 81.2  14.06      1  34        0         0
#> 63    22.77      1  31        1         0
#> 60    13.15      1  38        1         0
#> 77     7.27      1  67        0         1
#> 180.1 14.82      1  37        0         0
#> 188.1 16.16      1  46        0         1
#> 6.1   15.64      1  39        0         0
#> 166.2 19.98      1  48        0         0
#> 15.1  22.68      1  48        0         0
#> 133.1 14.65      1  57        0         0
#> 57    14.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 40    18.00      1  28        1         0
#> 26.3  15.77      1  49        0         1
#> 136   21.83      1  43        0         1
#> 134   17.81      1  47        1         0
#> 51    18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 171.1 16.57      1  41        0         1
#> 101.1  9.97      1  10        0         1
#> 68    20.62      1  44        0         0
#> 133.2 14.65      1  57        0         0
#> 99    21.19      1  38        0         1
#> 85.2  16.44      1  36        0         0
#> 189.3 10.51      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 55.1  19.34      1  69        0         1
#> 190.1 20.81      1  42        1         0
#> 100.2 16.07      1  60        0         0
#> 44    24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 95    24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 165   24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 7.1   24.00      0  37        1         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 98    24.00      0  34        1         0
#> 165.1 24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 178   24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 54    24.00      0  53        1         0
#> 146.1 24.00      0  63        1         0
#> 65    24.00      0  57        1         0
#> 44.1  24.00      0  56        0         0
#> 132   24.00      0  55        0         0
#> 34    24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 84.1  24.00      0  39        0         1
#> 104   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 115   24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 122   24.00      0  66        0         0
#> 196.1 24.00      0  19        0         0
#> 65.1  24.00      0  57        1         0
#> 1.1   24.00      0  23        1         0
#> 186   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 182   24.00      0  35        0         0
#> 73    24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 172.1 24.00      0  41        0         0
#> 165.2 24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 193.1 24.00      0  45        0         1
#> 44.2  24.00      0  56        0         0
#> 119   24.00      0  17        0         0
#> 98.1  24.00      0  34        1         0
#> 163.1 24.00      0  66        0         0
#> 44.3  24.00      0  56        0         0
#> 142   24.00      0  53        0         0
#> 196.2 24.00      0  19        0         0
#> 48    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 1.2   24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 122.1 24.00      0  66        0         0
#> 172.2 24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 82    24.00      0  34        0         0
#> 94.1  24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 160.1 24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 132.1 24.00      0  55        0         0
#> 141.1 24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 19    24.00      0  57        0         1
#> 84.2  24.00      0  39        0         1
#> 132.2 24.00      0  55        0         0
#> 98.2  24.00      0  34        1         0
#> 178.1 24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.673         NA        NA      NA
#> 2 age, Cure model           0.0132        NA        NA      NA
#> 3 grade_ii, Cure model     -0.369         NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00182        NA        NA      NA
#> 2 grade_ii, Survival model   0.312          NA        NA      NA
#> 3 grade_iii, Survival model  0.212          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.67289           0.01323          -0.36862           1.00243  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 242.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.67288820       0.01322615      -0.36862452       1.00242650 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001824399      0.311959198      0.212490476 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.306410088 0.492668802 0.945337037 0.871221227 0.424816621 0.682477169
#>   [7] 0.132928460 0.588067307 0.164587517 0.805460708 0.266792918 0.385278281
#>  [13] 0.186292812 0.926993546 0.889931397 0.266792918 0.256674932 0.843044516
#>  [19] 0.926993546 0.833620382 0.046389133 0.153741299 0.963709471 0.434632125
#>  [25] 0.786515593 0.861845709 0.663526874 0.009412715 0.375291994 0.908444750
#>  [31] 0.502327697 0.365320769 0.296284064 0.206735733 0.355369593 0.306410088
#>  [37] 0.059157159 0.502327697 0.748803527 0.729912620 0.795980942 0.335692460
#>  [43] 0.080561440 0.559574319 0.972866741 0.972866741 0.824207283 0.588067307
#>  [49] 0.654000995 0.023124180 0.644446352 0.852457445 0.588067307 0.023124180
#>  [55] 0.473488538 0.729912620 0.226894467 0.972866741 0.473488538 0.454212531
#>  [61] 0.559574319 0.880584170 0.101259240 0.625435081 0.805460708 0.059157159
#>  [67] 0.101259240 0.540515725 0.080561440 0.444408021 0.335692460 0.530853790
#>  [73] 0.186292812 0.748803527 0.748803527 0.122229259 0.777024353 0.954527429
#>  [79] 0.663526874 0.540515725 0.625435081 0.266792918 0.132928460 0.682477169
#>  [85] 0.720375268 0.917723201 0.405156878 0.588067307 0.175488176 0.415016293
#>  [91] 0.395225442 0.454212531 0.889931397 0.246590324 0.682477169 0.206735733
#>  [97] 0.502327697 0.710820300 0.306410088 0.226894467 0.559574319 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    58   181    70    93   184   133    15    26   175    37   166   108   153 
#> 19.34 16.46  7.38 10.33 17.77 14.65 22.68 15.77 21.91 12.52 19.98 18.29 21.33 
#>   149   101 166.1   150    43 149.1    56   129   169    25   117   140    52 
#>  8.37  9.97 19.98 20.33 12.10  8.37 12.21 23.41 22.41  6.32 17.46 12.68 10.42 
#>   180    86     8   187    85   179   170    36    97    55    69  85.1    81 
#> 14.82 23.81 18.43  9.92 16.44 18.63 19.54 21.19 19.14 19.34 23.23 16.44 14.06 
#>    13   177    76    92   100    91  91.1    42  26.1    29   168    39   107 
#> 14.34 12.53 19.22 22.92 16.07  5.33  5.33 12.43 15.77 15.45 23.72 15.59 11.18 
#>  26.2 168.1   130  13.1   190  91.2 130.1   171 100.1    61   113     6  37.1 
#> 15.77 23.72 16.47 14.34 20.81  5.33 16.47 16.57 16.07 10.12 22.86 15.64 12.52 
#>  69.1 113.1   188  92.1    30  76.1     5 153.1  81.1  81.2    63    60    77 
#> 23.23 22.86 16.16 22.92 17.43 19.22 16.43 21.33 14.06 14.06 22.77 13.15  7.27 
#> 180.1 188.1   6.1 166.2  15.1 133.1    57    16    40  26.3   136   134    51 
#> 14.82 16.16 15.64 19.98 22.68 14.65 14.46  8.71 18.00 15.77 21.83 17.81 18.23 
#> 171.1 101.1    68 133.2    99  85.2    96  55.1 190.1 100.2    44   146     2 
#> 16.57  9.97 20.62 14.65 21.19 16.44 14.54 19.34 20.81 16.07 24.00 24.00 24.00 
#>   172   160     7    95   112   165    67   7.1    94   198    98 165.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   141   7.2   144   131   148   178    31    11   163    35   200    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 146.1    65  44.1   132    34     1  84.1   104   196    83   156   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1  65.1   1.1   186    72   182    38   161 172.1 165.2    46 193.1  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119  98.1 163.1  44.3   142 196.2    48   185 144.1   1.2   147 122.1 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47  46.1    82  94.1   173 160.1  34.1    87    62 132.1 141.1    22    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19  84.2 132.2  98.2 178.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002958987               0.436319132               0.362171017 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.1752386               0.0197725               0.3019466 
#>   grade_iii, Cure model 
#>               0.9465182 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 86    23.81      1  58        0         1
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 129   23.41      1  53        1         0
#> 194   22.40      1  38        0         1
#> 170   19.54      1  43        0         1
#> 113   22.86      1  34        0         0
#> 51    18.23      1  83        0         1
#> 89    11.44      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 105   19.75      1  60        0         0
#> 100   16.07      1  60        0         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 100.1 16.07      1  60        0         0
#> 78    23.88      1  43        0         0
#> 79.1  16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 32    20.90      1  37        1         0
#> 97.1  19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 66    22.13      1  53        0         0
#> 129.1 23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 57.1  14.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 171.1 16.57      1  41        0         1
#> 42    12.43      1  49        0         1
#> 153   21.33      1  55        1         0
#> 140   12.68      1  59        1         0
#> 107   11.18      1  54        1         0
#> 106   16.67      1  49        1         0
#> 91     5.33      1  61        0         1
#> 177   12.53      1  75        0         0
#> 105.1 19.75      1  60        0         0
#> 5     16.43      1  51        0         1
#> 140.1 12.68      1  59        1         0
#> 14    12.89      1  21        0         0
#> 61    10.12      1  36        0         1
#> 42.1  12.43      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 29    15.45      1  68        1         0
#> 164.2 23.60      1  76        0         1
#> 158   20.14      1  74        1         0
#> 189   10.51      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 6     15.64      1  39        0         0
#> 129.2 23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 150   20.33      1  48        0         0
#> 100.2 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 125   15.65      1  67        1         0
#> 79.2  16.23      1  54        1         0
#> 130   16.47      1  53        0         1
#> 78.1  23.88      1  43        0         0
#> 153.1 21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 157   15.10      1  47        0         0
#> 79.3  16.23      1  54        1         0
#> 139   21.49      1  63        1         0
#> 91.1   5.33      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 69    23.23      1  25        0         1
#> 167.1 15.55      1  56        1         0
#> 157.1 15.10      1  47        0         0
#> 105.2 19.75      1  60        0         0
#> 153.2 21.33      1  55        1         0
#> 70     7.38      1  30        1         0
#> 175   21.91      1  43        0         0
#> 86.1  23.81      1  58        0         1
#> 4     17.64      1  NA        0         1
#> 129.3 23.41      1  53        1         0
#> 5.1   16.43      1  51        0         1
#> 153.3 21.33      1  55        1         0
#> 52.1  10.42      1  52        0         1
#> 79.4  16.23      1  54        1         0
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 164.3 23.60      1  76        0         1
#> 52.2  10.42      1  52        0         1
#> 43    12.10      1  61        0         1
#> 180   14.82      1  37        0         0
#> 56    12.21      1  60        0         0
#> 93.1  10.33      1  52        0         1
#> 96    14.54      1  33        0         1
#> 157.2 15.10      1  47        0         0
#> 175.1 21.91      1  43        0         0
#> 183.1  9.24      1  67        1         0
#> 14.1  12.89      1  21        0         0
#> 78.2  23.88      1  43        0         0
#> 123   13.00      1  44        1         0
#> 136.2 21.83      1  43        0         1
#> 157.3 15.10      1  47        0         0
#> 24    23.89      1  38        0         0
#> 78.3  23.88      1  43        0         0
#> 123.1 13.00      1  44        1         0
#> 181   16.46      1  45        0         1
#> 6.1   15.64      1  39        0         0
#> 4.1   17.64      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 169   22.41      1  46        0         0
#> 139.1 21.49      1  63        1         0
#> 35    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 122   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 12.1  24.00      0  63        0         0
#> 53    24.00      0  32        0         1
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 83    24.00      0   6        0         0
#> 160   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 12.2  24.00      0  63        0         0
#> 115   24.00      0  NA        1         0
#> 138.1 24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 87.1  24.00      0  27        0         0
#> 152   24.00      0  36        0         1
#> 74.1  24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 122.1 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 109.1 24.00      0  48        0         0
#> 35.2  24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 103   24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 71.1  24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 54.1  24.00      0  53        1         0
#> 116   24.00      0  58        0         1
#> 62    24.00      0  71        0         0
#> 46    24.00      0  71        0         0
#> 109.2 24.00      0  48        0         0
#> 3     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 103.1 24.00      0  56        1         0
#> 115.1 24.00      0  NA        1         0
#> 87.2  24.00      0  27        0         0
#> 53.1  24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 165   24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 163.1 24.00      0  66        0         0
#> 152.1 24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 152.2 24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 165.1 24.00      0  47        0         0
#> 173   24.00      0  19        0         1
#> 198.1 24.00      0  66        0         1
#> 7     24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 20.1  24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 87.3  24.00      0  27        0         0
#> 193   24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 115.2 24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 102   24.00      0  49        0         0
#> 200   24.00      0  64        0         0
#> 35.3  24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 53.2  24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 131.1 24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.18          NA        NA      NA
#> 2 age, Cure model           0.0198        NA        NA      NA
#> 3 grade_ii, Cure model      0.302         NA        NA      NA
#> 4 grade_iii, Cure model     0.947         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00296        NA        NA      NA
#> 2 grade_ii, Survival model   0.436          NA        NA      NA
#> 3 grade_iii, Survival model  0.362          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.17524           0.01977           0.30195           0.94652  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 251.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1752386        0.0197725        0.3019466        0.9465182 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002958987      0.436319132      0.362171017 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.95875434 0.07811429 0.59992918 0.90876916 0.14854578 0.24169500
#>   [7] 0.46279058 0.21006965 0.51833111 0.50910176 0.77252544 0.37918718
#>  [13] 0.43510769 0.64245493 0.54597136 0.93374950 0.64245493 0.03157371
#>  [19] 0.59992918 0.48148411 0.39778905 0.48148411 0.22072961 0.25207992
#>  [25] 0.14854578 0.10466447 0.42577604 0.10466447 0.77252544 0.28319990
#>  [31] 0.54597136 0.86643439 0.34246399 0.84096809 0.90031056 0.53678253
#>  [37] 0.98357157 0.85790625 0.43510769 0.58213264 0.84096809 0.82392726
#>  [43] 0.95040911 0.86643439 0.28319990 0.71203764 0.10466447 0.41647140
#>  [49] 0.19946132 0.69471250 0.67725208 0.14854578 0.47215809 0.40711603
#>  [55] 0.64245493 0.49982535 0.66848965 0.59992918 0.56403030 0.03157371
#>  [61] 0.34246399 0.31279714 0.72072536 0.59992918 0.32290547 0.98357157
#>  [67] 0.37918718 0.18871025 0.69471250 0.72072536 0.43510769 0.34246399
#>  [73] 0.97529511 0.26252737 0.07811429 0.14854578 0.58213264 0.34246399
#>  [79] 0.90876916 0.59992918 0.78975851 0.78975851 0.10466447 0.90876916
#>  [85] 0.89182657 0.75506435 0.88332647 0.93374950 0.76381000 0.72072536
#>  [91] 0.26252737 0.95875434 0.82392726 0.03157371 0.80690765 0.28319990
#>  [97] 0.72072536 0.01031210 0.03157371 0.80690765 0.57309986 0.67725208
#> [103] 0.52754019 0.23118202 0.32290547 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   183    86    79    52   129   194   170   113    51   108    57    36   105 
#>  9.24 23.81 16.23 10.42 23.41 22.40 19.54 22.86 18.23 18.29 14.46 21.19 19.75 
#>   100   171    93 100.1    78  79.1    97    32  97.1    63    66 129.1   164 
#> 16.07 16.57 10.33 16.07 23.88 16.23 19.14 20.90 19.14 22.77 22.13 23.41 23.60 
#>   166 164.1  57.1   136 171.1    42   153   140   107   106    91   177 105.1 
#> 19.98 23.60 14.46 21.83 16.57 12.43 21.33 12.68 11.18 16.67  5.33 12.53 19.75 
#>     5 140.1    14    61  42.1 136.1    29 164.2   158    92   167     6 129.2 
#> 16.43 12.68 12.89 10.12 12.43 21.83 15.45 23.60 20.14 22.92 15.55 15.64 23.41 
#>    76   150 100.2   179   125  79.2   130  78.1 153.1   197   157  79.3   139 
#> 19.22 20.33 16.07 18.63 15.65 16.23 16.47 23.88 21.33 21.60 15.10 16.23 21.49 
#>  91.1  36.1    69 167.1 157.1 105.2 153.2    70   175  86.1 129.3   5.1 153.3 
#>  5.33 21.19 23.23 15.55 15.10 19.75 21.33  7.38 21.91 23.81 23.41 16.43 21.33 
#>  52.1  79.4    13  13.1 164.3  52.2    43   180    56  93.1    96 157.2 175.1 
#> 10.42 16.23 14.34 14.34 23.60 10.42 12.10 14.82 12.21 10.33 14.54 15.10 21.91 
#> 183.1  14.1  78.2   123 136.2 157.3    24  78.3 123.1   181   6.1    30   169 
#>  9.24 12.89 23.88 13.00 21.83 15.10 23.89 23.88 13.00 16.46 15.64 17.43 22.41 
#> 139.1    35    74   122    12    48   138   121  12.1    53    20   163   191 
#> 21.49 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   160    21  12.2 138.1  35.1  48.1    87  87.1   152  74.1   146 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 122.1    22   109   178   131    71 109.1  35.2    19   103   172  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    54  54.1   116    62    46 109.2     3   104    80    65   156 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.2  53.1   185    67   165 146.1   198   176 163.1 152.1    28 152.2    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1   173 198.1     7   142    11  20.1   120  87.3   193    27  44.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   200  35.3    31  53.2    17 131.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004672863               0.798796287               0.332804213 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.81681078              0.01862399             -0.22874732 
#>   grade_iii, Cure model 
#>              0.41339196 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 117   17.46      1  26        0         1
#> 4     17.64      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 158   20.14      1  74        1         0
#> 155   13.08      1  26        0         0
#> 183    9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 86    23.81      1  58        0         1
#> 32    20.90      1  37        1         0
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 63    22.77      1  31        1         0
#> 184   17.77      1  38        0         0
#> 55    19.34      1  69        0         1
#> 96.1  14.54      1  33        0         1
#> 136   21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 5     16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 50.1  10.02      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 68.1  20.62      1  44        0         0
#> 177   12.53      1  75        0         0
#> 123   13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 199   19.81      1  NA        0         1
#> 117.1 17.46      1  26        0         1
#> 199.1 19.81      1  NA        0         1
#> 86.1  23.81      1  58        0         1
#> 24    23.89      1  38        0         0
#> 93    10.33      1  52        0         1
#> 91     5.33      1  61        0         1
#> 13    14.34      1  54        0         1
#> 105.1 19.75      1  60        0         0
#> 49    12.19      1  48        1         0
#> 124    9.73      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 168   23.72      1  70        0         0
#> 18    15.21      1  49        1         0
#> 16     8.71      1  71        0         1
#> 81    14.06      1  34        0         0
#> 169.1 22.41      1  46        0         0
#> 66    22.13      1  53        0         0
#> 90    20.94      1  50        0         1
#> 184.1 17.77      1  38        0         0
#> 117.2 17.46      1  26        0         1
#> 14.1  12.89      1  21        0         0
#> 68.2  20.62      1  44        0         0
#> 93.1  10.33      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 199.2 19.81      1  NA        0         1
#> 179   18.63      1  42        0         0
#> 110.1 17.56      1  65        0         1
#> 60    13.15      1  38        1         0
#> 81.1  14.06      1  34        0         0
#> 127    3.53      1  62        0         1
#> 70.1   7.38      1  30        1         0
#> 99    21.19      1  38        0         1
#> 113   22.86      1  34        0         0
#> 6     15.64      1  39        0         0
#> 180   14.82      1  37        0         0
#> 40    18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 90.1  20.94      1  50        0         1
#> 168.1 23.72      1  70        0         0
#> 110.2 17.56      1  65        0         1
#> 107   11.18      1  54        1         0
#> 159   10.55      1  50        0         1
#> 184.2 17.77      1  38        0         0
#> 63.1  22.77      1  31        1         0
#> 195.1 11.76      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 15    22.68      1  48        0         0
#> 194   22.40      1  38        0         1
#> 25     6.32      1  34        1         0
#> 130   16.47      1  53        0         1
#> 92    22.92      1  47        0         1
#> 111   17.45      1  47        0         1
#> 59.1  10.16      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 32.1  20.90      1  37        1         0
#> 177.1 12.53      1  75        0         0
#> 93.2  10.33      1  52        0         1
#> 42    12.43      1  49        0         1
#> 55.1  19.34      1  69        0         1
#> 85    16.44      1  36        0         0
#> 183.1  9.24      1  67        1         0
#> 30    17.43      1  78        0         0
#> 158.1 20.14      1  74        1         0
#> 175   21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 89.1  11.44      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 199.3 19.81      1  NA        0         1
#> 41.1  18.02      1  40        1         0
#> 69    23.23      1  25        0         1
#> 128   20.35      1  35        0         1
#> 194.1 22.40      1  38        0         1
#> 29    15.45      1  68        1         0
#> 29.1  15.45      1  68        1         0
#> 125   15.65      1  67        1         0
#> 166   19.98      1  48        0         0
#> 79    16.23      1  54        1         0
#> 13.1  14.34      1  54        0         1
#> 19    24.00      0  57        0         1
#> 143   24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 172   24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 11    24.00      0  42        0         1
#> 132   24.00      0  55        0         0
#> 144   24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 74    24.00      0  43        0         1
#> 144.1 24.00      0  28        0         1
#> 142   24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 7     24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 17    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 53.1  24.00      0  32        0         1
#> 178   24.00      0  52        1         0
#> 38.1  24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 73    24.00      0  NA        0         1
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 67    24.00      0  25        0         0
#> 95    24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 196   24.00      0  19        0         0
#> 173.1 24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 174   24.00      0  49        1         0
#> 31    24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 19.1  24.00      0  57        0         1
#> 122   24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 173.2 24.00      0  19        0         1
#> 200   24.00      0  64        0         0
#> 160   24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 84.1  24.00      0  39        0         1
#> 135   24.00      0  58        1         0
#> 11.1  24.00      0  42        0         1
#> 174.1 24.00      0  49        1         0
#> 122.1 24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 84.2  24.00      0  39        0         1
#> 19.2  24.00      0  57        0         1
#> 196.1 24.00      0  19        0         0
#> 20    24.00      0  46        1         0
#> 7.1   24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 172.1 24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 144.2 24.00      0  28        0         1
#> 121.1 24.00      0  57        1         0
#> 67.1  24.00      0  25        0         0
#> 19.3  24.00      0  57        0         1
#> 2     24.00      0   9        0         0
#> 102   24.00      0  49        0         0
#> 138   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 147.1 24.00      0  76        1         0
#> 132.1 24.00      0  55        0         0
#> 73.1  24.00      0  NA        0         1
#> 141   24.00      0  44        1         0
#> 174.2 24.00      0  49        1         0
#> 2.1   24.00      0   9        0         0
#> 1     24.00      0  23        1         0
#> 80.1  24.00      0  41        0         0
#> 122.2 24.00      0  66        0         0
#> 173.3 24.00      0  19        0         1
#> 120   24.00      0  68        0         1
#> 35.1  24.00      0  51        0         0
#> 141.1 24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 121.2 24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.817         NA        NA      NA
#> 2 age, Cure model           0.0186        NA        NA      NA
#> 3 grade_ii, Cure model     -0.229         NA        NA      NA
#> 4 grade_iii, Cure model     0.413         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00467        NA        NA      NA
#> 2 grade_ii, Survival model   0.799          NA        NA      NA
#> 3 grade_iii, Survival model  0.333          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.81681           0.01862          -0.22875           0.41339  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 246.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.81681078       0.01862399      -0.22874732       0.41339196 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004672863      0.798796287      0.332804213 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6886492 0.4820652 0.5330799 0.8605399 0.9542729 0.6649921 0.9117265
#>   [8] 0.1331693 0.4611732 0.8141487 0.6153987 0.2838037 0.6405617 0.5887847
#>  [15] 0.8141487 0.4026911 0.7273230 0.7501480 0.5611730 0.8735284 0.4820652
#>  [22] 0.8863657 0.8670763 0.2139807 0.6886492 0.1331693 0.0437022 0.9363974
#>  [29] 0.9887752 0.8275572 0.5611730 0.9179965 0.3251652 0.1753436 0.8005326
#>  [36] 0.9659294 0.8407951 0.3251652 0.3772066 0.4386024 0.6405617 0.6886492
#>  [43] 0.8735284 0.4820652 0.9363974 0.9717422 0.4151109 0.8991253 0.6065025
#>  [50] 0.6649921 0.8539972 0.8407951 0.9944013 0.9717422 0.4151109 0.2671244
#>  [57] 0.7795749 0.8073460 0.6322501 0.7650509 0.4386024 0.1753436 0.6649921
#>  [64] 0.9241912 0.9303096 0.6405617 0.2838037 0.1009577 0.3112717 0.3518256
#>  [71] 0.9831216 0.7349776 0.2502643 0.7118482 0.0437022 0.4611732 0.8863657
#>  [78] 0.9363974 0.9054424 0.5887847 0.7425699 0.9542729 0.7196039 0.5330799
#>  [85] 0.3899952 0.5228719 0.5796004 0.6153987 0.2325235 0.5126135 0.3518256
#>  [92] 0.7867540 0.7867540 0.7723825 0.5517818 0.7576676 0.8275572 0.0000000
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000
#> 
#> $Time
#>   117    68   158   155   183   110    56    86    32    96    41    63   184 
#> 17.46 20.62 20.14 13.08  9.24 17.56 12.21 23.81 20.90 14.54 18.02 22.77 17.77 
#>    55  96.1   136    45     5   105    14  68.1   177   123   164 117.1  86.1 
#> 19.34 14.54 21.83 17.42 16.43 19.75 12.89 20.62 12.53 13.00 23.60 17.46 23.81 
#>    24    93    91    13 105.1    49   169   168    18    16    81 169.1    66 
#> 23.89 10.33  5.33 14.34 19.75 12.19 22.41 23.72 15.21  8.71 14.06 22.41 22.13 
#>    90 184.1 117.2  14.1  68.2  93.1    70    36    37   179 110.1    60  81.1 
#> 20.94 17.77 17.46 12.89 20.62 10.33  7.38 21.19 12.52 18.63 17.56 13.15 14.06 
#>   127  70.1    99   113     6   180    40   188  90.1 168.1 110.2   107   159 
#>  3.53  7.38 21.19 22.86 15.64 14.82 18.00 16.16 20.94 23.72 17.56 11.18 10.55 
#> 184.2  63.1    78    15   194    25   130    92   111  24.1  32.1 177.1  93.2 
#> 17.77 22.77 23.88 22.68 22.40  6.32 16.47 22.92 17.45 23.89 20.90 12.53 10.33 
#>    42  55.1    85 183.1    30 158.1   175   150   170  41.1    69   128 194.1 
#> 12.43 19.34 16.44  9.24 17.43 20.14 21.91 20.33 19.54 18.02 23.23 20.35 22.40 
#>    29  29.1   125   166    79  13.1    19   143    38    53   172   198    11 
#> 15.45 15.45 15.65 19.98 16.23 14.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   144    65    82    74 144.1   142    44     7    12    17   147  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178  38.1    84    35    98   173    67    95    80   161   196 173.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    28   174    31   186   162  19.1   122   121 173.2   200   160  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1   135  11.1 174.1 122.1   151  84.2  19.2 196.1    20   7.1    33   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1   126 144.2 121.1  67.1  19.3     2   102   138   163     9    47 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   141 174.2   2.1     1  80.1 122.2 173.3   120  35.1 141.1   7.2    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.2 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01042355                1.18963287                0.86339747 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.28442742              0.00601149             -0.38848874 
#>   grade_iii, Cure model 
#>              1.35064152 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x56211437de80>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 61    10.12      1  36        0         1
#> 130   16.47      1  53        0         1
#> 190   20.81      1  42        1         0
#> 37    12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 24    23.89      1  38        0         0
#> 58    19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 167   15.55      1  56        1         0
#> 13    14.34      1  54        0         1
#> 97    19.14      1  65        0         1
#> 60    13.15      1  38        1         0
#> 164   23.60      1  76        0         1
#> 183    9.24      1  67        1         0
#> 15    22.68      1  48        0         0
#> 25     6.32      1  34        1         0
#> 100   16.07      1  60        0         0
#> 106   16.67      1  49        1         0
#> 107   11.18      1  54        1         0
#> 167.1 15.55      1  56        1         0
#> 184   17.77      1  38        0         0
#> 114   13.68      1  NA        0         0
#> 24.1  23.89      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 175   21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 99    21.19      1  38        0         1
#> 123   13.00      1  44        1         0
#> 93    10.33      1  52        0         1
#> 168   23.72      1  70        0         0
#> 90    20.94      1  50        0         1
#> 180   14.82      1  37        0         0
#> 59.1  10.16      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 70     7.38      1  30        1         0
#> 111   17.45      1  47        0         1
#> 16     8.71      1  71        0         1
#> 197   21.60      1  69        1         0
#> 5     16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 125   15.65      1  67        1         0
#> 39    15.59      1  37        0         1
#> 56    12.21      1  60        0         0
#> 59.2  10.16      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 58.1  19.34      1  39        0         0
#> 81    14.06      1  34        0         0
#> 81.1  14.06      1  34        0         0
#> 88    18.37      1  47        0         0
#> 110   17.56      1  65        0         1
#> 57    14.46      1  45        0         1
#> 125.1 15.65      1  67        1         0
#> 91     5.33      1  61        0         1
#> 113   22.86      1  34        0         0
#> 24.2  23.89      1  38        0         0
#> 41    18.02      1  40        1         0
#> 85    16.44      1  36        0         0
#> 133   14.65      1  57        0         0
#> 50    10.02      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 140   12.68      1  59        1         0
#> 43    12.10      1  61        0         1
#> 181   16.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 187    9.92      1  39        1         0
#> 111.1 17.45      1  47        0         1
#> 76    19.22      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 16.1   8.71      1  71        0         1
#> 183.1  9.24      1  67        1         0
#> 79    16.23      1  54        1         0
#> 88.1  18.37      1  47        0         0
#> 110.1 17.56      1  65        0         1
#> 23    16.92      1  61        0         0
#> 70.1   7.38      1  30        1         0
#> 168.1 23.72      1  70        0         0
#> 105   19.75      1  60        0         0
#> 42    12.43      1  49        0         1
#> 107.1 11.18      1  54        1         0
#> 130.1 16.47      1  53        0         1
#> 90.1  20.94      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 181.1 16.46      1  45        0         1
#> 16.2   8.71      1  71        0         1
#> 4.1   17.64      1  NA        0         1
#> 168.2 23.72      1  70        0         0
#> 25.1   6.32      1  34        1         0
#> 180.1 14.82      1  37        0         0
#> 14    12.89      1  21        0         0
#> 10    10.53      1  34        0         0
#> 85.2  16.44      1  36        0         0
#> 168.3 23.72      1  70        0         0
#> 36    21.19      1  48        0         1
#> 40    18.00      1  28        1         0
#> 25.2   6.32      1  34        1         0
#> 42.1  12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 16.3   8.71      1  71        0         1
#> 51    18.23      1  83        0         1
#> 113.1 22.86      1  34        0         0
#> 197.1 21.60      1  69        1         0
#> 79.1  16.23      1  54        1         0
#> 36.1  21.19      1  48        0         1
#> 105.1 19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 124.1  9.73      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 141   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 22    24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 82.1  24.00      0  34        0         0
#> 98    24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 27    24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 54    24.00      0  53        1         0
#> 122.1 24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 148.1 24.00      0  61        1         0
#> 46    24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 186   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 103   24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 131   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 160.1 24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 112   24.00      0  61        0         0
#> 165   24.00      0  47        0         0
#> 112.1 24.00      0  61        0         0
#> 38    24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 27.1  24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 1     24.00      0  23        1         0
#> 191   24.00      0  60        0         1
#> 122.2 24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 178.1 24.00      0  52        1         0
#> 1.1   24.00      0  23        1         0
#> 73    24.00      0  NA        0         1
#> 20    24.00      0  46        1         0
#> 67    24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 109   24.00      0  48        0         0
#> 27.2  24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 22.1  24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 160.2 24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 160.3 24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 11    24.00      0  42        0         1
#> 143.1 24.00      0  51        0         0
#> 98.2  24.00      0  34        1         0
#> 46.1  24.00      0  71        0         0
#> 19.1  24.00      0  57        0         1
#> 148.2 24.00      0  61        1         0
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 75.1  24.00      0  21        1         0
#> 84    24.00      0  39        0         1
#> 7.1   24.00      0  37        1         0
#> 162.1 24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 119.1 24.00      0  17        0         0
#> 19.2  24.00      0  57        0         1
#> 182   24.00      0  35        0         0
#> 22.2  24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.284          NA        NA      NA
#> 2 age, Cure model          0.00601        NA        NA      NA
#> 3 grade_ii, Cure model    -0.388          NA        NA      NA
#> 4 grade_iii, Cure model    1.35           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0104        NA        NA      NA
#> 2 grade_ii, Survival model    1.19          NA        NA      NA
#> 3 grade_iii, Survival model   0.863         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.284427          0.006011         -0.388489          1.350642  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 238.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.28442742       0.00601149      -0.38848874       1.35064152 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01042355       1.18963287       0.86339747 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.887805500 0.512942006 0.260161449 0.802086266 0.132346694 0.005039799
#>   [7] 0.304742462 0.481847375 0.675827573 0.739459457 0.339505198 0.766579867
#>  [13] 0.061360630 0.904556886 0.102233579 0.969216292 0.619595082 0.502680969
#>  [19] 0.845356887 0.675827573 0.419288426 0.005039799 0.147540201 0.117860101
#>  [25] 0.203612233 0.775548487 0.879332723 0.022273036 0.237730057 0.693865144
#>  [31] 0.721260341 0.953288800 0.461580443 0.920947974 0.163321723 0.590987143
#>  [37] 0.629157229 0.638658323 0.666539947 0.828007583 0.408605847 0.304742462
#>  [43] 0.748492765 0.748492765 0.351055411 0.430060778 0.730387299 0.638658323
#>  [49] 0.992270414 0.074883541 0.005039799 0.386200719 0.552640082 0.712054044
#>  [55] 0.870828890 0.657172388 0.793284759 0.836693725 0.532969637 0.190390208
#>  [61] 0.896227697 0.461580443 0.327874206 0.552640082 0.920947974 0.904556886
#>  [67] 0.600752519 0.351055411 0.430060778 0.492212309 0.953288800 0.022273036
#>  [73] 0.282183248 0.810809861 0.845356887 0.512942006 0.237730057 0.532969637
#>  [79] 0.920947974 0.022273036 0.969216292 0.693865144 0.784406767 0.862293467
#>  [85] 0.552640082 0.022273036 0.203612233 0.397632632 0.969216292 0.810809861
#>  [91] 0.271090075 0.920947974 0.374360341 0.074883541 0.163321723 0.600752519
#>  [97] 0.203612233 0.282183248 0.451123076 0.552640082 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    61   130   190    37    66    24    58    30   167    13    97    60   164 
#> 10.12 16.47 20.81 12.52 22.13 23.89 19.34 17.43 15.55 14.34 19.14 13.15 23.60 
#>   183    15    25   100   106   107 167.1   184  24.1   175   194    99   123 
#>  9.24 22.68  6.32 16.07 16.67 11.18 15.55 17.77 23.89 21.91 22.40 21.19 13.00 
#>    93   168    90   180    96    70   111    16   197     5    26   125    39 
#> 10.33 23.72 20.94 14.82 14.54  7.38 17.45  8.71 21.60 16.43 15.77 15.65 15.59 
#>    56   134  58.1    81  81.1    88   110    57 125.1    91   113  24.2    41 
#> 12.21 17.81 19.34 14.06 14.06 18.37 17.56 14.46 15.65  5.33 22.86 23.89 18.02 
#>    85   133    52     6   140    43   181   153   187 111.1    76  85.1  16.1 
#> 16.44 14.65 10.42 15.64 12.68 12.10 16.46 21.33  9.92 17.45 19.22 16.44  8.71 
#> 183.1    79  88.1 110.1    23  70.1 168.1   105    42 107.1 130.1  90.1 181.1 
#>  9.24 16.23 18.37 17.56 16.92  7.38 23.72 19.75 12.43 11.18 16.47 20.94 16.46 
#>  16.2 168.2  25.1 180.1    14    10  85.2 168.3    36    40  25.2  42.1    68 
#>  8.71 23.72  6.32 14.82 12.89 10.53 16.44 23.72 21.19 18.00  6.32 12.43 20.62 
#>  16.3    51 113.1 197.1  79.1  36.1 105.1   117   192   141    33   138    82 
#>  8.71 18.23 22.86 21.60 16.23 21.19 19.75 17.46 16.44 24.00 24.00 24.00 24.00 
#>    48   122 141.1    34    22   162    21  82.1    98   160    64    27   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 122.1  98.1 148.1    46   196    87   186     9    19   103   156    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119   131   146 160.1  54.1   102   112   165 112.1    38    94  27.1     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   191 122.2   178 178.1   1.1    20    67   143  67.1   109  27.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126  22.1    62   118   142 131.1 160.2 126.1 160.3 120.1   151    11 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2  46.1  19.1 148.2   147    44    75  75.1    84   7.1 162.1     3   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 119.1  19.2   182  22.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>